Triple

T20023264
Position Surface form Disambiguated ID Type / Status
Subject IR E494913 entity
Predicate usedByRailOperator P121930 FINISHED
Object CFR Călători NE NERFINISHED

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: CFR Călători | Statement: [IR, usedByRailOperator, CFR Călători]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CFR Călători
Context triple: [IR, usedByRailOperator, CFR Călători]
  • A. CFR Călători chosen
    CFR Călători is Romania’s national passenger railway operator, providing intercity and regional train services across the country.
  • B. CFR
    CFR is the stock ticker symbol for Compagnie Financière Richemont SA, the Swiss luxury goods holding company known for brands like Cartier and Montblanc.
  • C. CFR
    The Federal Commission against Racism (CFR) is a Swiss government body that monitors, advises, and raises awareness on issues of racism and discrimination within Switzerland.
  • D. CFR
    CFR is the IATA airport code for Caen – Carpiquet Airport, a regional airport serving the city of Caen in Normandy, France.
  • E. CFR
    CFR is the commonly used abbreviation for the Code of Federal Regulations, the codification of the general and permanent rules published in the U.S. Federal Register by federal government departments and agencies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628a1ecc8190bf6ee0bedb61e0b8 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.