Triple

T21116442
Position Surface form Disambiguated ID Type / Status
Subject Chester railway station E520310 entity
Predicate hasCode P9567 FINISHED
Object CTR 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: CTR | Statement: [Chester railway station, hasCode, CTR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTR
Context triple: [Chester railway station, hasCode, CTR]
  • A. CTR chosen
    CTR is the National Rail station code for Chester railway station in Cheshire, England.
  • B. CNT
    CNT is the commonly used abbreviation for the USA Baseball Collegiate National Team, which features top U.S. college baseball players in international competition.
  • C. CNT
    CNT is the three-letter station code used to identify Canning Town Underground station in London’s transport network.
  • D. CNT
    CNT is a historic anarcho-syndicalist trade union and political organization in Spain known for its leading role in workers’ movements and the Spanish Civil War.
  • E. CTS
    CTS is the public transport operator responsible for running Strasbourg’s tram and bus network in France.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72106a3b48190a0efa51a74ae21f0 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:55 p.m.