Triple

T4051749
Position Surface form Disambiguated ID Type / Status
Subject VAST E84600 entity
Predicate version P3286 FINISHED
Object VAST 3.0 E84600 NE FINISHED

How this triple was built (2 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: VAST 3.0 | Statement: [VAST, version, VAST 3.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VAST 3.0
Context triple: [VAST, version, VAST 3.0]
  • A. VAST chosen
    VAST (Video Ad Serving Template) is an industry-standard XML-based specification that defines how video ads are served and tracked across different video players and ad servers.
  • B. VISTA
    VISTA is a wide-field infrared survey telescope located at ESO’s Paranal Observatory in Chile, designed to map the southern sky in unprecedented detail.
  • C. VISTA
    VISTA (Volunteers in Service to America) is a national service program in the United States that places volunteers in low-income communities to help alleviate poverty and build local capacity.
  • D. VAB
    VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
  • E. MediaVast
    MediaVast was a digital media and photography licensing company best known as the parent of WireImage, a major source of celebrity and entertainment imagery.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb8539148190990468c1429be9dd completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b501c008190ac115240328c6fc9 completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:37 p.m.