Triple

T15404066
Position Surface form Disambiguated ID Type / Status
Subject Kennebunk, Maine E368403 entity
Predicate county P75 FINISHED
Object York County E637984 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: York County | Statement: [Kennebunk, Maine, county, York County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: York County
Context triple: [Kennebunk, Maine, county, York County]
  • A. York County
    York County was a former county in Ontario, Canada, that historically encompassed the area around present-day Toronto before being restructured into regional municipalities.
  • B. York County
    York County is a county in northern South Carolina that forms part of the greater Charlotte metropolitan region.
  • C. York County
    York County is a county in southeastern Virginia that forms part of the Hampton Roads metropolitan region along the Chesapeake Bay.
  • D. York County chosen
    York County is a coastal county in southwestern Maine known for its historic towns, beaches, and role as one of the state's earliest settled regions.
  • E. York County
    York County is a county in south-central Pennsylvania known for its mix of agricultural landscapes, historic towns, and growing suburban communities.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8fde64819082ec0c68df305561 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff219de0f88190a914bfee5dde32c9 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:19 a.m.