Triple

T7459436
Position Surface form Disambiguated ID Type / Status
Subject VISTA E176206 entity
Predicate hasInstrument P35 FINISHED
Object VIRCAM
VIRCAM is the wide-field infrared camera used on the VISTA telescope to conduct large-scale near-infrared sky surveys.
E666537 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: VIRCAM | Statement: [VISTA, hasInstrument, VIRCAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VIRCAM
Context triple: [VISTA, hasInstrument, VIRCAM]
  • A. MegaCam
    MegaCam is a wide-field optical imaging camera used for deep-sky astronomical surveys on the Canada–France–Hawaii Telescope.
  • B. WIRCam
    WIRCam is a wide-field infrared camera used for astronomical imaging on the Canada–France–Hawaii Telescope.
  • C. VISTA telescope
    The VISTA telescope is a 4.1-meter wide-field survey telescope in Chile designed primarily for large-scale near-infrared sky surveys.
  • D. LSST Camera
    The LSST Camera is a massive, wide-field digital camera designed to capture deep, high-resolution images of the night sky for the Vera C. Rubin Observatory’s decade-long sky survey.
  • E. VLT Survey Telescope
    The VLT Survey Telescope is a wide-field optical survey telescope in Chile designed to conduct large-scale imaging of the southern sky for the European Southern Observatory.
  • 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: VIRCAM
Triple: [VISTA, hasInstrument, VIRCAM]
Generated description
VIRCAM is the wide-field infrared camera used on the VISTA telescope to conduct large-scale near-infrared sky surveys.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VIRCAM
Target entity description: VIRCAM is the wide-field infrared camera used on the VISTA telescope to conduct large-scale near-infrared sky surveys.
  • A. MegaCam
    MegaCam is a wide-field optical imaging camera used for deep-sky astronomical surveys on the Canada–France–Hawaii Telescope.
  • B. WIRCam
    WIRCam is a wide-field infrared camera used for astronomical imaging on the Canada–France–Hawaii Telescope.
  • C. VISTA telescope
    The VISTA telescope is a 4.1-meter wide-field survey telescope in Chile designed primarily for large-scale near-infrared sky surveys.
  • D. LSST Camera
    The LSST Camera is a massive, wide-field digital camera designed to capture deep, high-resolution images of the night sky for the Vera C. Rubin Observatory’s decade-long sky survey.
  • E. VLT Survey Telescope
    The VLT Survey Telescope is a wide-field optical survey telescope in Chile designed to conduct large-scale imaging of the southern sky for the European Southern Observatory.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d332d08190a05c92a00ed09ac6 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8345f629c8190889081e18bdfe6f7 completed March 28, 2026, 8:04 p.m.
NEDg Description generation batch_69c835279b108190b32415c2e3d92c6d completed March 28, 2026, 8:08 p.m.
NED2 Entity disambiguation (via description) batch_69c835d2474081908ec1e93c1ced0b1f completed March 28, 2026, 8:10 p.m.
Created at: March 27, 2026, 3:37 p.m.