Triple

T8456911
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 373 E199940 entity
Predicate safetySystem P840 FINISHED
Object TBL E382391 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: TBL | Statement: [British Rail Class 373, safetySystem, TBL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TBL
Context triple: [British Rail Class 373, safetySystem, TBL]
  • A. TBL
    TBL is the standard NHL abbreviation for the Tampa Bay Lightning professional ice hockey team.
  • B. TBL1+ chosen
    TBL1+ is a Belgian train protection and signalling system designed to enhance safety by supervising train speeds and enforcing signal obedience on the national railway network.
  • C. Tababela
    Tababela is a rural parish in the Quito Metropolitan District of Ecuador, known for hosting the city’s main air gateway, Mariscal Sucre International Airport.
  • D. Tabulahan
    Tabulahan is a dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
  • E. TBP
    TBP is the commonly used abbreviation for the Brexit Party, a former UK political party founded to advocate for the United Kingdom’s departure from the European Union.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe48f180c8190a71cf9d7248ade60 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1de232508190803fd2dad21e677f completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:10 p.m.