Triple

T15421816
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Harbor E369397 entity
Predicate adjacentTo P224 FINISHED
Object Lee County E270161 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: Lee County | Statement: [Charlotte Harbor, adjacentTo, Lee County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee County
Context triple: [Charlotte Harbor, adjacentTo, Lee County]
  • A. Lee County
    Lee County is a county in eastern Alabama known for being home to the city of Auburn and Auburn University.
  • B. Lee County chosen
    Lee County is a coastal county on Florida’s Gulf Coast known for its beaches, barrier islands, and the city of Fort Myers.
  • C. Lee County
    Lee County is a county in northern Illinois known for its largely rural landscape, small towns, and agricultural economy.
  • D. Thomas County
    Thomas County is a county in southern Georgia, United States, known for its historic city of Thomasville and its blend of agricultural and cultural heritage.
  • E. Lauderdale County
    Lauderdale County is a county in eastern Mississippi that includes the city of Meridian and serves as a regional center for commerce, transportation, and education.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ebe7b1081908e6b9e6e128a8d5d completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c78f36d88190a39f407c5d8dbc0d completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 3:20 a.m.