Triple

T6819193
Position Surface form Disambiguated ID Type / Status
Subject Teito Rapid Transit Authority E156852 entity
Predicate alsoKnownAs P39 FINISHED
Object TRTA E583760 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: TRTA | Statement: [Teito Rapid Transit Authority, alsoKnownAs, TRTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TRTA
Context triple: [Teito Rapid Transit Authority, alsoKnownAs, TRTA]
  • A. TRTA chosen
    TRTA (Teito Rapid Transit Authority) was the former public corporation responsible for operating most of Tokyo’s subway network before its privatization into Tokyo Metro.
  • B. RTRA
    RTRA is the abbreviation for the Royal Tank Regiment Association, an organization that supports and connects current and former members of the Royal Tank Regiment.
  • C. RTA
    RTA is Dubai’s Roads and Transport Authority, the government agency responsible for planning and operating the emirate’s public transportation and road systems.
  • D. RTA
    RTA is the common abbreviation for the Regional Transportation Authority of Northeastern Illinois, the agency that oversees public transit services in the Chicago metropolitan area.
  • E. TRTS
    TRTS is the commonly used abbreviation for the Taipei Metro rapid transit system serving the Taipei metropolitan area in Taiwan.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d35781e88190a45d1386706d4422 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723e797908190bb0a2d22556b5906 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:17 p.m.