Triple

T9680999
Position Surface form Disambiguated ID Type / Status
Subject Hits E234280 entity
Predicate hasTrack P3284 FINISHED
Object Woodstock E225687 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: [Hits, hasTrack, Woodstock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodstock
Context triple: [Hits, hasTrack, Woodstock]
  • A. Woodstock
    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 chosen
    "Woodstock" is a song written by Joni Mitchell that reflects on the iconic 1969 Woodstock music festival and became widely known through covers by artists like Crosby, Stills, Nash & Young.
  • D. Woodstock
    Woodstock is the small, yellow bird who serves as Snoopy’s loyal friend and sidekick in the Peanuts comic strip.
  • E. Woodstock
    Woodstock is a suburban city in the Atlanta metropolitan area, known for its rapidly growing population, revitalized downtown, and family-friendly community.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c9dcbe881908ae926a5b5eae759 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcb78e4c8190aaa55de453789168 completed April 5, 2026, 1:36 a.m.
Created at: March 30, 2026, 8:16 p.m.