Triple

T19898153
Position Surface form Disambiguated ID Type / Status
Subject Old Dee Bridge E478205 entity
Predicate connects P390 FINISHED
Object Chester city centre 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: Chester city centre | Statement: [Old Dee Bridge, connects, Chester city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chester city centre
Context triple: [Old Dee Bridge, connects, 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 (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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593ef8dc8190be5b64988eceafac completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.