Triple

T2654230
Position Surface form Disambiguated ID Type / Status
Subject Skagit County E53970 entity
Predicate adjacentTo P224 FINISHED
Object Island County E46925 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: Island County | Statement: [Skagit County, adjacentTo, Island County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Island County
Context triple: [Skagit County, adjacentTo, Island County]
  • A. Island County chosen
    Island County is a county in Washington State composed mainly of Whidbey and Camano Islands, known for its coastal scenery and maritime communities in the Puget Sound.
  • B. Lewis County
    Lewis County is a county in southwestern Washington State known for its rural communities, forests, and position between the Cascade Range and the Pacific Coast.
  • C. Lewis County
    Lewis County is a rural county in northern New York State known for its forests, outdoor recreation, and location within the Tug Hill Plateau region.
  • D. Esmeralda County
    Esmeralda County is a sparsely populated rural county in western Nevada known for its historic mining towns and vast desert landscapes.
  • E. Martin County
    Martin County is a coastal county on Florida’s Atlantic Treasure Coast known for its beaches, waterways, and mix of small cities and natural preserves.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd932a35881909568839589f12062 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98d0dbd08190a317dfe1844840c5 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.