Triple

T20326999
Position Surface form Disambiguated ID Type / Status
Subject Tucana V E492363 entity
Predicate surveyDetectedIn P42127 FINISHED
Object Dark Energy Survey 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: Dark Energy Survey | Statement: [Tucana V, surveyDetectedIn, Dark Energy Survey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dark Energy Survey
Context triple: [Tucana V, surveyDetectedIn, Dark Energy Survey]
  • A. Dark Energy Survey chosen
    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.
  • B. Dark Energy Spectroscopic Instrument
    The Dark Energy Spectroscopic Instrument (DESI) is a state-of-the-art astronomical survey instrument designed to map the large-scale structure of the universe by measuring the spectra and redshifts of millions of galaxies and quasars to study dark energy.
  • 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. LSST Dark Energy Science Collaboration
    The LSST Dark Energy Science Collaboration is an international consortium of scientists dedicated to using data from the Vera C. Rubin Observatory to study dark energy and the expansion history of the universe.
  • E. Dark Energy Camera
    The Dark Energy Camera is a powerful wide-field astronomical imaging instrument designed to study dark energy and map the large-scale structure of the universe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: surveyDetectedIn
Context triple: [Tucana V, surveyDetectedIn, Dark Energy Survey]
  • A. surveyMode
    Indicates the method or format by which a survey is administered or conducted (e.g., online, phone, in-person).
  • B. surveyedIn chosen
    Indicates that an entity was included as part of the scope or coverage of a particular survey or data-collection effort.
  • C. usesSurveyPoint
    Indicates that an entity relies on or references a specific survey point as a positional or measurement basis in its activity or relationship.
  • D. surveySystemType
    Indicates the type or category of system used to conduct or manage a survey.
  • E. coSurveyedWith
    Indicates that two or more entities participated together in the same survey activity or data-collection effort.
  • F. None of above.

Provenance (3 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e4130081909ec54f131939e442 completed April 20, 2026, 7 p.m.
PD Predicate disambiguation batch_69e5762655ac8190a8cc48a29fa2c0c4 completed April 20, 2026, 12:41 a.m.
Created at: April 16, 2026, 11:21 a.m.