Triple

T12023446
Position Surface form Disambiguated ID Type / Status
Subject Woodspring E286212 entity
Predicate hasEnglishName P3437 FINISHED
Object Woodspring E286212 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: Woodspring | Statement: [Woodspring, hasEnglishName, Woodspring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodspring
Context triple: [Woodspring, hasEnglishName, Woodspring]
  • A. Woodspring chosen
    Woodspring was a former local government district in North Somerset, England, that existed from 1974 until its abolition in 1996.
  • B. Hillspring
    Hillspring is a small rural village located within Cardston County in southern Alberta, Canada.
  • C. Walden Ridge
    Walden Ridge is a prominent escarpment and long, narrow ridge in eastern Tennessee that forms part of the western edge of the Appalachian Mountains.
  • D. Four Oaks
    Four Oaks is a small town located in Johnston County, North Carolina, known for its rural character and proximity to major transportation routes like Interstate 95.
  • E. Four Oaks
    Four Oaks is a suburban railway station in the West Midlands, England, serving the Four Oaks area of Sutton Coldfield on the Cross-City Line.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903ee4f9081909e5a58ecbd830b14 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b71e5c48190a58ace8ef7c8928d completed May 1, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:47 p.m.