Triple

T11552002
Position Surface form Disambiguated ID Type / Status
Subject Lichfield Trent Valley railway station E273919 entity
Predicate hasStationCode P1289 FINISHED
Object LTV E932720 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: LTV | Statement: [Lichfield Trent Valley railway station, hasStationCode, LTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LTV
Context triple: [Lichfield Trent Valley railway station, hasStationCode, LTV]
  • A. LTV chosen
    LTV is the National Rail station code for Lichfield Trent Valley railway station in Staffordshire, England.
  • B. LTC
    LTC is the commonly used abbreviation for the London Transit Commission, the public transportation agency serving the city of London, Ontario, Canada.
  • C. TLT
    TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
  • D. TLT
    TLT is the IATA airport code for the small public airport serving the remote community of Tuluksak in western Alaska.
  • E. LT
    LT is the abbreviated name for the Logic Theorist, an early computer program that pioneered automated theorem proving in mathematical logic.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a83f1e88190aabf11a4c8a6c9e5 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e71392d0388190971bab8906e5e6df completed April 21, 2026, 6:05 a.m.
Created at: April 8, 2026, 9:37 p.m.