Triple

T5587367
Position Surface form Disambiguated ID Type / Status
Subject The Town E146788 entity
Predicate setIn P1393 FINISHED
Object Yoknapatawpha County E76988 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: Yoknapatawpha County | Statement: [The Town, setIn, Yoknapatawpha County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yoknapatawpha County
Context triple: [The Town, setIn, Yoknapatawpha County]
  • A. Yoknapatawpha County chosen
    Yoknapatawpha County is a fictional Mississippi county created by William Faulkner as the primary setting for many of his novels exploring the American South.
  • B. Rabun County
    Rabun County is a mountainous county in northeastern Georgia known for its scenic landscapes, outdoor recreation, and location in the southern Appalachian region.
  • C. Bonner County
    Bonner County is a largely rural county in northern Idaho known for its forests, lakes, and outdoor recreation areas, including parts of Lake Pend Oreille and the Selkirk Mountains.
  • D. Butler County
    Butler County is a county in western Pennsylvania, north of Pittsburgh, known for its mix of suburban communities, rural landscapes, and growing industrial and service sectors.
  • E. Butler County
    Butler County is a rural county in south-central Alabama known for its pine forests, small towns, and location along the Interstate 65 corridor.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209d713081908b39ee8befb2faf7 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf5e1fcc8190b9ab67a9cc9e1be0 completed March 23, 2026, 4:19 a.m.
Created at: March 22, 2026, 3:38 p.m.