Triple

T15563626
Position Surface form Disambiguated ID Type / Status
Subject Georgia State Route 92 E371058 entity
Predicate passesThrough P225 FINISHED
Object Bartow County E339065 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: Bartow County | Statement: [Georgia State Route 92, passesThrough, Bartow County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bartow County
Context triple: [Georgia State Route 92, passesThrough, Bartow County]
  • A. Bartow County chosen
    Bartow County is a county in northwestern Georgia known for its rich history, natural resources, and role in the state’s gold-mining region.
  • B. Gooding County
    Gooding County is a rural county in Idaho known for its agricultural economy, small communities, and location along the Snake River Plain.
  • C. Gilchrist County
    Gilchrist County is a rural county in northern Florida known for its small-town communities and natural springs along the Suwannee and Santa Fe rivers.
  • D. Habersham County
    Habersham County is a county in northeastern Georgia known historically for its role in the state's gold mining region and its location in the scenic foothills of the Appalachian Mountains.
  • E. Bailey County
    Bailey County is a rural county in the western Texas Panhandle known for its agricultural economy and small 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddc66448190948280fb0c8d390c completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56bf8cac81909886de5b82849cb2 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:10 a.m.