Triple

T9870168
Position Surface form Disambiguated ID Type / Status
Subject South Puget Sound E239935 entity
Predicate bordersCounty P6346 FINISHED
Object Mason County E44266 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: Mason County | Statement: [South Puget Sound, bordersCounty, Mason County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mason County
Context triple: [South Puget Sound, bordersCounty, Mason County]
  • A. Mason County chosen
    Mason County is a county in western Washington State known for its forests, waterways, and location along the southern reaches of Puget Sound.
  • B. Grant County
    Grant County is a county in central Washington State known for its agricultural production, reservoirs, and outdoor recreation areas.
  • C. Grant County
    Grant County is a rural county in eastern West Virginia known for its mountainous terrain, outdoor recreation areas, and small communities.
  • D. 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.
  • E. 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.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d498b481908f82f31f98b57c7e completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d380c81c7c81908361d237d79f1ff0 completed April 6, 2026, 9:45 a.m.
Created at: March 30, 2026, 8:36 p.m.