Triple

T16258616
Position Surface form Disambiguated ID Type / Status
Subject Hanborough railway station E394693 entity
Predicate near P350 FINISHED
Object Woodstock E36309 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: Woodstock | Statement: [Hanborough railway station, near, Woodstock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodstock
Context triple: [Hanborough railway station, near, Woodstock]
  • A. Woodstock chosen
    Woodstock is a historic market town in Oxfordshire, England, best known as the location of Blenheim Palace, the birthplace of Sir Winston Churchill.
  • B. Woodstock
    Woodstock is a historical novel by Sir Walter Scott set during the English Civil War, blending political intrigue, romance, and elements of the supernatural.
  • C. Woodstock
    Woodstock is the small, yellow bird who serves as Snoopy’s loyal friend and sidekick in the Peanuts comic strip.
  • D. Woodstock
    Woodstock is a suburban city in the Atlanta metropolitan area, known for its rapidly growing population, revitalized downtown, and family-friendly community.
  • E. Woodstock
    Woodstock is a historic 1969 music festival in upstate New York that became a symbol of the counterculture movement and peace activism.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c1fa208190995feaeba766b45f completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000eebcfe481909822290d3a7b361c completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.