Triple

T1276404
Position Surface form Disambiguated ID Type / Status
Subject Akron E27222 entity
Predicate isCountySeatOf P383 FINISHED
Object Summit County E145869 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: Summit County | Statement: [Akron, isCountySeatOf, Summit County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Summit County
Context triple: [Akron, isCountySeatOf, Summit County]
  • A. Summit County chosen
    Summit County is a county in northeastern Ohio, best known for its county seat and largest city, Akron.
  • B. Douglas County
    Douglas County is a county in western Nevada known for encompassing part of the Lake Tahoe region and serving as a key residential and recreational area near Carson City and the California border.
  • C. Beaver County
    Beaver County is a county in western Pennsylvania that forms part of the greater Pittsburgh metropolitan area.
  • D. Washington County
    Washington County is a county in southwestern Pennsylvania that forms part of the greater Pittsburgh metropolitan area.
  • E. Washington County
    Washington County was a former administrative subdivision of the District of Columbia that encompassed the area outside the cities of Washington and Georgetown on the Maryland side of the Potomac River.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c08ef32c8190a493c8215946e5dd completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacb7ee8c819084ef29881b2274cb completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:50 p.m.