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.