Triple

T9033430
Position Surface form Disambiguated ID Type / Status
Subject Queensbury, New York E216430 entity
Predicate borders P224 FINISHED
Object Moreau, New York E525373 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: Moreau, New York | Statement: [Queensbury, New York, borders, Moreau, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moreau, New York
Context triple: [Queensbury, New York, borders, Moreau, New York]
  • A. Moreau, New York chosen
    Moreau, New York is a town in Saratoga County known for its proximity to the Hudson River and the popular Moreau Lake State Park.
  • B. Wawayanda, New York
    Wawayanda, New York is a rural town in Orange County known for its agricultural character and proximity to the city of Middletown.
  • C. Moriah, New York
    Moriah, New York is a small town in Essex County in the Adirondack region, known for its historic iron mining industry and scenic Lake Champlain shoreline.
  • D. Napanoch, New York
    Napanoch, New York is a small hamlet in Ulster County’s Town of Wawarsing in the Catskills region, historically shaped by its rural setting and former correctional facilities.
  • E. Matteawan, New York
    Matteawan, New York was a former village in Dutchess County that later became part of the city of Beacon.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6aa248bc8190a55cfc2a5306ab20 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0543ddf6881908e9add22083d652d completed April 3, 2026, 11:58 p.m.
Created at: March 30, 2026, 7:08 p.m.