Triple
T18198781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MegaCam |
E435727
|
entity |
| Predicate | associatedSurvey |
P49793
|
FINISHED |
| Object | CFHTLS Deep |
—
|
NE NERFINISHED |
How this triple was built (3 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: CFHTLS Deep | Statement: [MegaCam, associatedSurvey, CFHTLS Deep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CFHTLS Deep Context triple: [MegaCam, associatedSurvey, CFHTLS Deep]
-
A.
Garching-Bonn Deep Survey
The Garching-Bonn Deep Survey is an astronomical deep-imaging project designed to study distant galaxies and large-scale cosmic structures using wide-field observations.
-
B.
Dark Energy Survey
The Dark Energy Survey is a large international astronomical project that uses a wide-field camera on a Chilean telescope to map hundreds of millions of galaxies and study the nature of dark energy and cosmic acceleration.
-
C.
DECam Legacy Survey
The DECam Legacy Survey is a wide-field astronomical imaging project that uses the Dark Energy Camera to map large areas of the sky for studies of galaxy evolution, cosmology, and targets for spectroscopic surveys.
-
D.
DECaLS
DECaLS is a wide-field optical imaging survey conducted with the Dark Energy Camera to provide deep, high-quality data for cosmological and extragalactic studies, including target selection for large spectroscopic surveys.
-
E.
Chandra Deep Field surveys
The Chandra Deep Field surveys are some of the deepest X-ray observations of the universe, conducted with NASA’s Chandra X-ray Observatory to study distant galaxies, black holes, and the cosmic X-ray background.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CFHTLS Deep Target entity description: CFHTLS Deep is a deep-imaging component of the Canada-France-Hawaii Telescope Legacy Survey designed to study faint and distant astronomical objects using the MegaCam wide-field imager.
-
A.
Garching-Bonn Deep Survey
The Garching-Bonn Deep Survey is an astronomical deep-imaging project designed to study distant galaxies and large-scale cosmic structures using wide-field observations.
-
B.
Dark Energy Survey
The Dark Energy Survey is a large international astronomical project that uses a wide-field camera on a Chilean telescope to map hundreds of millions of galaxies and study the nature of dark energy and cosmic acceleration.
-
C.
DECam Legacy Survey
The DECam Legacy Survey is a wide-field astronomical imaging project that uses the Dark Energy Camera to map large areas of the sky for studies of galaxy evolution, cosmology, and targets for spectroscopic surveys.
-
D.
DECaLS
DECaLS is a wide-field optical imaging survey conducted with the Dark Energy Camera to provide deep, high-quality data for cosmological and extragalactic studies, including target selection for large spectroscopic surveys.
-
E.
Chandra Deep Field surveys
The Chandra Deep Field surveys are some of the deepest X-ray observations of the universe, conducted with NASA’s Chandra X-ray Observatory to study distant galaxies, black holes, and the cosmic X-ray background.
- F. None of above. chosen
Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d545f4819090285d1446bd3c27 |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.