Triple

T10892737
Position Surface form Disambiguated ID Type / Status
Subject PNS E257222 entity
Predicate locatedIn P40 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: [PNS, locatedIn, Escambia County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Escambia County
Context triple: [PNS, locatedIn, 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. Walton County
    Walton County is a coastal county in the Florida Panhandle known for its white-sand beaches, upscale beach communities, and location along the Gulf of Mexico.
  • C. Suwannee County
    Suwannee County is a rural county in northern Florida known for the Suwannee River, agriculture, and small-town communities.
  • D. 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.
  • E. Sumter County
    Sumter County is a county located in the central part of the U.S. state of South Carolina, known for its historic sites and agricultural economy.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75206354881908b148f2df3938513 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3443f04c08190a8071ac7374115b1 completed April 18, 2026, 8:43 a.m.
Created at: April 8, 2026, 9:21 p.m.