Triple

T16853992
Position Surface form Disambiguated ID Type / Status
Subject VPAID E409740 entity
Predicate relatedTo P37 FINISHED
Object VAST 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 | Statement: [VPAID, relatedTo, VAST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VAST
Context triple: [VPAID, relatedTo, VAST]
  • 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. 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.
  • C. VASS
    VASS is Vietnam’s leading national research institution dedicated to the study and development of the social sciences.
  • D. VAND
    VAND is the ICAO airport code assigned to Shri Guru Gobind Singh Ji Airport in India.
  • E. VAN
    VAN is the standard abbreviation used for the Vancouver Canadians, a Minor League Baseball team based in Vancouver, British Columbia.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37bbb80819086d844a313625cad completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a6f2c48190874839f78f943fdb completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:24 a.m.