Triple

T5835302
Position Surface form Disambiguated ID Type / Status
Subject Martin Van Buren National Historic Site E129453 entity
Predicate locatedIn P40 FINISHED
Object Kinderhook E213755 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: Kinderhook | Statement: [Martin Van Buren National Historic Site, locatedIn, Kinderhook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinderhook
Context triple: [Martin Van Buren National Historic Site, locatedIn, Kinderhook]
  • A. Kinderhook, New York chosen
    Kinderhook, New York, is a historic Hudson Valley town best known as the boyhood home of U.S. President Martin Van Buren.
  • B. Tompkins
    Tompkins is a surname most notably associated with Daniel D. Tompkins, the fourth governor of New York and seventh vice president of the United States.
  • C. Manorkill
    Manorkill is a small stream in New York State that serves as one of the tributaries feeding into Schoharie Creek.
  • D. Boughton
    Boughton is a small rural village in Norfolk, England, situated near the settlement of Stoke Ferry.
  • E. Wassaic
    Wassaic is a small hamlet in Dutchess County, New York, known for its rural setting, historic architecture, and the Wassaic Project arts organization.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a358708190bfce78e7bd75db36 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a196ebb88190aea57899be954aae completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.