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.