Triple

T14550951
Position Surface form Disambiguated ID Type / Status
Subject Lancy-Pont-Rouge railway station E341414 entity
Predicate hasAbbreviation P43 FINISHED
Object LPR E115886 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: LPR | Statement: [Lancy-Pont-Rouge railway station, hasAbbreviation, LPR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LPR
Context triple: [Lancy-Pont-Rouge railway station, hasAbbreviation, LPR]
  • A. LPR chosen
    LPR is the vehicle registration code used for cars registered in the Finnish city of Lappeenranta.
  • B. LIBOR
    LIBOR (London Interbank Offered Rate) is a now-discontinued global benchmark interest rate that reflected the average rate at which major banks lent to one another in the short-term unsecured interbank market across multiple currencies and maturities.
  • C. Bank Rate
    Bank Rate is the United Kingdom’s official policy interest rate set by the Bank of England to influence borrowing costs, inflation, and overall economic activity.
  • D. SELIC rate
    The SELIC rate is Brazil’s benchmark interest rate used by the Central Bank of Brazil to guide monetary policy and influence inflation and economic activity.
  • E. Jinrong Jie
    Jinrong Jie is Beijing’s central financial district, home to major banks, regulatory agencies, and financial institutions.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ee34208190bf040a513767c958 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a64ac0c8190bfaa4f3dbc42dd1e completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:23 a.m.