Triple

T20331256
Position Surface form Disambiguated ID Type / Status
Subject Alden, New York E492486 entity
Predicate borderedBy P224 FINISHED
Object Wales, New York NE NERFINISHED

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: Wales, New York | Statement: [Alden, New York, borderedBy, Wales, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wales, New York
Context triple: [Alden, New York, borderedBy, Wales, New York]
  • A. Town of Wales, New York chosen
    The Town of Wales, New York, is a rural community in Erie County known for its small-town character, scenic countryside, and role as part of the Buffalo–Niagara Falls metropolitan area.
  • B. Wayland, New York
    Wayland, New York is a small town and village in Steuben County in the Finger Lakes region of western New York State.
  • C. Wheatland, New York
    Wheatland, New York is a small rural town in Monroe County known for its agricultural character and historic village of Scottsville.
  • D. Warwick, New York
    Warwick, New York is a town in Orange County best known today as the world headquarters location of Jehovah’s Witnesses.
  • E. New Scotland, New York
    New Scotland, New York is a rural town in Albany County known for its scenic landscapes, historic hamlets, and proximity to the city of Albany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e7baf481909282293d78597634 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.