Triple

T16997221
Position Surface form Disambiguated ID Type / Status
Subject Chester Crown Court E412348 entity
Predicate near P350 FINISHED
Object Chester city centre E638029 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 Crown Court, near, Chester city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chester city centre
Context triple: [Chester Crown Court, near, Chester city centre]
  • A. Chester city centre chosen
    Chester city centre is the historic core of the city of Chester in Cheshire, England, known for its well-preserved Roman walls, medieval architecture, and distinctive two-tiered shopping galleries.
  • B. Town of Chester
    The Town of Chester is a small Adirondack community in upstate New York known for its lakes, forests, and outdoor recreation.
  • C. Chester
    Chester is the full given name of American actor and musician Chet Hanks, son of actor Tom Hanks.
  • D. Chester
    Chester is a masculine given name of English origin that has been borne by various notable figures, including the 21st U.S. president, Chester A. Arthur.
  • E. Chester
    Chester is a minor character in Joseph Conrad’s novel "Lord Jim," known as an unscrupulous, opportunistic seaman whose dubious schemes highlight the moral contrasts within the story.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d2885f888190ab1406f55a91bf93 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc18e6988190b42b3d251cf00b98 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.