Triple

T1669947
Position Surface form Disambiguated ID Type / Status
Subject Kentucky Route 84 E36100 entity
Predicate passesThrough P225 FINISHED
Object LaRue County E22863 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: LaRue County | Statement: [Kentucky Route 84, passesThrough, LaRue County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LaRue County
Context triple: [Kentucky Route 84, passesThrough, LaRue County]
  • A. LaRue County chosen
    LaRue County is a rural county in central Kentucky best known as the birthplace region of Abraham Lincoln, with Hodgenville as its county seat.
  • B. Dale County
    Dale County is a county in southeastern Alabama known for its association with Fort Novosel (formerly Fort Rucker) and its role in the Wiregrass region.
  • C. Dooly County
    Dooly County is a rural county in central Georgia known for its agricultural economy and small-town communities.
  • D. Pulaski County
    Pulaski County is a rural county in central Georgia known for its agricultural landscape and the city of Hawkinsville as its county seat.
  • E. Storey County
    Storey County is a small, historic county in northern Nevada best known for the Comstock Lode mining district and the preserved 19th-century town of Virginia City.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa624285bc8190a763e99e548a3294 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20f0a6f588190a8a61ab47a858118 completed March 12, 2026, 12:55 a.m.
Created at: March 4, 2026, 7:29 p.m.