Triple

T7156225
Position Surface form Disambiguated ID Type / Status
Subject Royal International Air Tattoo E166817 entity
Predicate alsoKnownAs P39 FINISHED
Object RIAT E588913 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: RIAT | Statement: [Royal International Air Tattoo, alsoKnownAs, RIAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RIAT
Context triple: [Royal International Air Tattoo, alsoKnownAs, RIAT]
  • A. RIAT chosen
    RIAT is one of the world’s largest military airshows, held annually in the UK and renowned for its extensive displays of international aircraft and aerobatic teams.
  • B. RJA
    RJA is the ICAO airline designator used for Royal Jordanian, the flag carrier airline of Jordan.
  • C. IATAS
    IATAS is the acronym for the International Academy of Television Arts & Sciences, the organization best known for presenting the International Emmy Awards.
  • D. RJAA
    RJAA is the ICAO airport code for Narita International Airport, a major international gateway serving the Tokyo metropolitan area in Japan.
  • E. RAE
    RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e80dafdc8190b24863b83f084d12 completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adb530388190b68fa05418d3e184 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:47 p.m.