Triple

T6558641
Position Surface form Disambiguated ID Type / Status
Subject Wilmington, New York E152516 entity
Predicate hasAttraction P105 FINISHED
Object Ausable River E255694 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: Ausable River | Statement: [Wilmington, New York, hasAttraction, Ausable River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ausable River
Context triple: [Wilmington, New York, hasAttraction, Ausable River]
  • A. Ausable River chosen
    The Ausable River is a scenic mountain river in northeastern New York known for its deep gorges, waterfalls, and popular trout fishing within the Adirondack region.
  • B. Beaver River
    Beaver River is a tributary waterway in Utah that flows through Beaver County before joining the Sevier River.
  • C. Beaver River
    Beaver River is a significant waterway in the Oklahoma Panhandle that forms part of the upper course of the North Canadian River.
  • D. Beaver River
    Beaver River is a waterway in western Pennsylvania that flows through Beaver County and ultimately joins the Ohio River.
  • E. Clear River
    Clear River is a Canadian waterway that serves as a tributary of the Peace River within the Peace River watershed.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae202e508190a08a0c0584648b83 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1aef47b908190a7aff84fbf2759db completed April 5, 2026, 12:38 a.m.
Created at: March 27, 2026, 1:52 p.m.