Triple

T9885822
Position Surface form Disambiguated ID Type / Status
Subject VISTA telescope E180928 entity
Predicate associatedSurvey P49793 FINISHED
Object VISTA Variables in the Via Lactea
VISTA Variables in the Via Lactea is a near-infrared astronomical survey mapping variable stars and structure in the Milky Way using the VISTA telescope.
E827950 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: VISTA Variables in the Via Lactea | Statement: [VISTA telescope, associatedSurvey, VISTA Variables in the Via Lactea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VISTA Variables in the Via Lactea
Context triple: [VISTA telescope, associatedSurvey, VISTA Variables in the Via Lactea]
  • A. VISTA Magellanic Clouds Survey
    The VISTA Magellanic Clouds Survey is a near-infrared astronomical survey mapping the Magellanic Clouds and their surroundings to study their structure, stellar populations, and interaction with the Milky Way.
  • B. VISTA Hemisphere Survey
    The VISTA Hemisphere Survey is a large-scale near-infrared sky survey using the VISTA telescope to map the entire southern celestial hemisphere for studies of Galactic structure, nearby stars, and distant galaxies.
  • C. Harvard variable star catalogues
    The Harvard variable star catalogues are pioneering astronomical compilations that systematically recorded and classified variable stars, forming a foundational resource for stellar variability research.
  • D. Magellanic Clouds variable stars catalogs
    Magellanic Clouds variable stars catalogs are extensive astronomical compilations of variable stars in the Large and Small Magellanic Clouds, crucial for studying stellar evolution and the cosmic distance scale.
  • E. VISTA Kilo-degree Infrared Galaxy survey
    The VISTA Kilo-degree Infrared Galaxy survey (VIKING) is a wide-area near-infrared astronomical survey mapping large regions of the sky to study galaxy evolution, large-scale structure, and cosmology.
  • 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: VISTA Variables in the Via Lactea
Triple: [VISTA telescope, associatedSurvey, VISTA Variables in the Via Lactea]
Generated description
VISTA Variables in the Via Lactea is a near-infrared astronomical survey mapping variable stars and structure in the Milky Way using the VISTA telescope.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VISTA Variables in the Via Lactea
Target entity description: VISTA Variables in the Via Lactea is a near-infrared astronomical survey mapping variable stars and structure in the Milky Way using the VISTA telescope.
  • A. VISTA Magellanic Clouds Survey
    The VISTA Magellanic Clouds Survey is a near-infrared astronomical survey mapping the Magellanic Clouds and their surroundings to study their structure, stellar populations, and interaction with the Milky Way.
  • B. VISTA Hemisphere Survey
    The VISTA Hemisphere Survey is a large-scale near-infrared sky survey using the VISTA telescope to map the entire southern celestial hemisphere for studies of Galactic structure, nearby stars, and distant galaxies.
  • C. Harvard variable star catalogues
    The Harvard variable star catalogues are pioneering astronomical compilations that systematically recorded and classified variable stars, forming a foundational resource for stellar variability research.
  • D. Magellanic Clouds variable stars catalogs
    Magellanic Clouds variable stars catalogs are extensive astronomical compilations of variable stars in the Large and Small Magellanic Clouds, crucial for studying stellar evolution and the cosmic distance scale.
  • E. VISTA Kilo-degree Infrared Galaxy survey
    The VISTA Kilo-degree Infrared Galaxy survey (VIKING) is a wide-area near-infrared astronomical survey mapping large regions of the sky to study galaxy evolution, large-scale structure, and cosmology.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb45659748190a3ebd1abe23c8779 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eafc76b0819098e481bb17a3af2b completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1ecfce8588190815876afc7ec85d4 completed April 5, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_69d1ed99963881908dd14786a2e2e87f completed April 5, 2026, 5:05 a.m.
Created at: March 30, 2026, 8:38 p.m.