Triple

T5444502
Position Surface form Disambiguated ID Type / Status
Subject Chester railway station E122213 entity
Predicate near P350 FINISHED
Object Chester city centre E447301 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: Chester city centre | Statement: [Chester railway station, near, Chester city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chester city centre
Context triple: [Chester railway station, near, Chester city centre]
  • A. Chester
    Chester is the full given name of American actor and musician Chet Hanks, son of actor Tom Hanks.
  • B. Chester
    Chester is the given name of Chester W. Nimitz, the prominent U.S. Navy fleet admiral who played a leading role in the Pacific theater during World War II.
  • C. Chester
    Chester is a small, historically industrial city in southeastern Pennsylvania that lies just southwest of Philadelphia along the Delaware River.
  • D. Chester-le-Street
    Chester-le-Street is a historic market town in North East England, known for its Roman origins and location between Durham and Newcastle upon Tyne.
  • E. Chester, Cheshire, England chosen
    Chester, Cheshire, England is a historic walled city in northwest England known for its Roman heritage, medieval architecture, and distinctive black-and-white timbered buildings.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ce3e4081908e11a731416c0378 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4881d6308190a4e7cb784eb520c9 completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:07 p.m.