Triple

T5299613
Position Surface form Disambiguated ID Type / Status
Subject Escambia High School E119943 entity
Predicate county P75 FINISHED
Object Escambia County E168774 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: Escambia County | Statement: [Escambia High School, county, Escambia County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Escambia County
Context triple: [Escambia High School, county, Escambia County]
  • A. Escambia County chosen
    Escambia County is a county in southern Alabama known for its mix of rural communities, timber and agricultural industries, and proximity to the Florida state line.
  • B. Suwannee County
    Suwannee County is a rural county in northern Florida known for the Suwannee River, agriculture, and small-town communities.
  • C. Bay County
    Bay County is a coastal county in the Florida Panhandle known for its Gulf of Mexico beaches and the city of Panama City.
  • D. Sumter County
    Sumter County is a largely rural county in west-central Georgia known for its agricultural economy and the city of Americus as its county seat.
  • E. Sumter County
    Sumter County is a rural county in western Alabama known for its agricultural landscape, small communities, and location along the Mississippi state line.
  • 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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd850877688190a611d6293ca58d94 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bff4ad59748190873288afe4a48878 completed March 22, 2026, 1:54 p.m.
Created at: March 20, 2026, 1:53 p.m.