Triple

T4082210
Position Surface form Disambiguated ID Type / Status
Subject Cortlandt, New York E87501 entity
Predicate contains P35 FINISHED
Object Village of Buchanan E248932 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: Village of Buchanan | Statement: [Cortlandt, New York, contains, Village of Buchanan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Village of Buchanan
Context triple: [Cortlandt, New York, contains, Village of Buchanan]
  • A. Village of Buchanan chosen
    The Village of Buchanan is a small riverside community in Westchester County, New York, known for its residential character and proximity to the Hudson River.
  • B. Union Village
    Union Village is a small historic village located within Providence County in the U.S. state of Rhode Island.
  • C. Village of Warren
    The Village of Warren was an earlier municipal incarnation of what later became the city of Warren, Michigan.
  • D. Village of Bowler
    The Village of Bowler is a small rural community in central Wisconsin known for its close-knit population and surrounding agricultural and forested landscapes.
  • E. Village of Cecil
    The Village of Cecil is a small rural community in northeastern Wisconsin known for its proximity to Shawano Lake and outdoor recreational activities.
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc77dab481909bcf197daf2def59 completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562c3e1b081908cd783d9399a751f completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:39 p.m.