Triple

T21056792
Position Surface form Disambiguated ID Type / Status
Subject ceremonial county of Staffordshire E518736 entity
Predicate hasAdministrativeCentre P1474 FINISHED
Object Stafford 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: Stafford | Statement: [ceremonial county of Staffordshire, hasAdministrativeCentre, Stafford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stafford
Context triple: [ceremonial county of Staffordshire, hasAdministrativeCentre, Stafford]
  • A. Stafford
    Stafford is a county in Northern Virginia known for its suburban communities, historical sites, and proximity to Washington, D.C.
  • B. Stafford chosen
    Stafford is a historic market town in Staffordshire, England, known for its medieval castle, role as the county town, and long-standing regional administrative importance.
  • C. Stafford
    Stafford is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • D. Stafford
    Stafford is a surname of English origin borne by numerous notable individuals, including politicians, athletes, and artists.
  • E. Bedford
    Bedford is a small suburban city located in northeastern Ohio within the Greater Cleveland metropolitan area.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7fc5c48190bdc4d75ab6a529a3 completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:37 p.m.