Triple
T14923605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COMBO-17 survey |
E371575
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Classifying Objects by Medium-Band Observations in 17 filters
Classifying Objects by Medium-Band Observations in 17 filters (COMBO-17) is an astronomical survey that uses 17 medium-band optical filters to obtain precise photometric measurements and classify celestial objects such as galaxies, quasars, and stars.
|
E1126290
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Classifying Objects by Medium-Band Observations in 17 filters | Statement: [COMBO-17 survey, fullName, Classifying Objects by Medium-Band Observations in 17 filters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Classifying Objects by Medium-Band Observations in 17 filters Context triple: [COMBO-17 survey, fullName, Classifying Objects by Medium-Band Observations in 17 filters]
-
A.
Hubble sequence of galaxy classification
The Hubble sequence of galaxy classification is a morphological system that organizes galaxies into categories such as ellipticals, spirals, and irregulars based on their visual appearance.
-
B.
Revised Shapley–Ames Catalog of Bright Galaxies
The Revised Shapley–Ames Catalog of Bright Galaxies is a major astronomical catalog that systematically lists and classifies the brightest galaxies in the sky, serving as a foundational reference for extragalactic research.
-
C.
Galaxy Zoo
Galaxy Zoo is a citizen science project that enlists volunteers worldwide to classify galaxies from astronomical images, contributing to research in astrophysics and cosmology.
-
D.
Advanced Camera for Surveys
The Advanced Camera for Surveys is a high-resolution imaging instrument on the Hubble Space Telescope designed to capture detailed observations of distant galaxies, galaxy clusters, and other faint astronomical objects.
-
E.
Carnegie-Spitzer-IMACS Survey
The Carnegie-Spitzer-IMACS Survey is an astronomical research project that combines infrared observations from the Spitzer Space Telescope with optical spectroscopy from the IMACS instrument to study the formation and evolution of galaxies across cosmic time.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Classifying Objects by Medium-Band Observations in 17 filters Triple: [COMBO-17 survey, fullName, Classifying Objects by Medium-Band Observations in 17 filters]
Generated description
Classifying Objects by Medium-Band Observations in 17 filters (COMBO-17) is an astronomical survey that uses 17 medium-band optical filters to obtain precise photometric measurements and classify celestial objects such as galaxies, quasars, and stars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Classifying Objects by Medium-Band Observations in 17 filters Target entity description: Classifying Objects by Medium-Band Observations in 17 filters (COMBO-17) is an astronomical survey that uses 17 medium-band optical filters to obtain precise photometric measurements and classify celestial objects such as galaxies, quasars, and stars.
-
A.
Hubble sequence of galaxy classification
The Hubble sequence of galaxy classification is a morphological system that organizes galaxies into categories such as ellipticals, spirals, and irregulars based on their visual appearance.
-
B.
Revised Shapley–Ames Catalog of Bright Galaxies
The Revised Shapley–Ames Catalog of Bright Galaxies is a major astronomical catalog that systematically lists and classifies the brightest galaxies in the sky, serving as a foundational reference for extragalactic research.
-
C.
Galaxy Zoo
Galaxy Zoo is a citizen science project that enlists volunteers worldwide to classify galaxies from astronomical images, contributing to research in astrophysics and cosmology.
-
D.
Advanced Camera for Surveys
The Advanced Camera for Surveys is a high-resolution imaging instrument on the Hubble Space Telescope designed to capture detailed observations of distant galaxies, galaxy clusters, and other faint astronomical objects.
-
E.
Carnegie-Spitzer-IMACS Survey
The Carnegie-Spitzer-IMACS Survey is an astronomical research project that combines infrared observations from the Spitzer Space Telescope with optical spectroscopy from the IMACS instrument to study the formation and evolution of galaxies across cosmic time.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6323f8c8190af02d06352d459c3 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c3185c8190af2cd0329d701caa |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe73dd1058819081e6c44a9684faa8 |
completed | May 8, 2026, 11:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe749bded08190ac872fddbd5d3004 |
completed | May 8, 2026, 11:41 p.m. |
Created at: April 10, 2026, 2:34 a.m.