Triple

T9772533
Position Surface form Disambiguated ID Type / Status
Subject Twickenham railway station E237160 entity
Predicate hasStationCode P1289 FINISHED
Object TWI E474914 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: TWI | Statement: [Twickenham railway station, hasStationCode, TWI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TWI
Context triple: [Twickenham railway station, hasStationCode, TWI]
  • A. TWI chosen
    TWI is a leading UK-based research and technology organization specializing in welding, joining, and related engineering technologies for industry.
  • B. TWG
    TWG is the commonly used abbreviation for The World Games, an international multi-sport event featuring disciplines not contested in the Olympic Games.
  • C. TGWU
    TGWU is the commonly used abbreviation for the Transport and General Workers' Union, once one of the largest and most influential trade unions in the United Kingdom.
  • D. TIW
    TIW is the IATA airport code for Tacoma Narrows Airport, a public airport serving the Tacoma, Washington area.
  • E. TIJ
    TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f5261481908d9bac8c43da5294 completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd12261c819085e502e8321c3200 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:26 p.m.