Triple

T11919143
Position Surface form Disambiguated ID Type / Status
Subject DH postcode area E283608 entity
Predicate hasPostTown P2711 FINISHED
Object Chester le Street E208780 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 le Street | Statement: [DH postcode area, hasPostTown, Chester le Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chester le Street
Context triple: [DH postcode area, hasPostTown, Chester le Street]
  • A. Chester-le-Street chosen
    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.
  • B. Chester
    Chester is a small, historically industrial city in southeastern Pennsylvania that lies just southwest of Philadelphia along the Delaware River.
  • C. Chester
    Chester is a historic walled city in northwest England renowned for its Roman heritage, medieval architecture, and well-preserved city walls.
  • D. Chester
    Chester is a historic walled city in northwest England, renowned for its well-preserved Roman and medieval architecture.
  • E. Chester
    Chester is a historic city in northwest England known for its Roman walls, 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8dff77481908cacf6ad03df34ac completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f440247cf4819084567f6e1005ef04 completed May 1, 2026, 5:54 a.m.
Created at: April 8, 2026, 9:44 p.m.