Triple

T14733714
Position Surface form Disambiguated ID Type / Status
Subject Dewey County E346144 entity
Predicate borderedBy P224 FINISHED
Object Woodward County E341979 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: Woodward County | Statement: [Dewey County, borderedBy, Woodward County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodward County
Context triple: [Dewey County, borderedBy, Woodward County]
  • A. Woodward County chosen
    Woodward County is a largely rural county in northwestern Oklahoma known for its agricultural economy and role as a regional trade and service center.
  • B. Marshall County
    Marshall County is a centrally located county in the U.S. state of Iowa, known for its agricultural landscape and the city of Marshalltown as its county seat.
  • C. Marshall County
    Marshall County is a county in northern Alabama known for its scenic location around Lake Guntersville and its mix of small towns and rural communities.
  • D. Marshall County
    Marshall County is a rural county in northwestern Minnesota known for its agricultural landscape and small communities.
  • E. Tibbs County
    Tibbs County is a fictional Mississippi county featured in the television series "In the Heat of the Night," serving as the primary setting for its stories of crime and community.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec72ea9348190817efcdaa973d7f7 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a5f38488190b441dd0b385024b1 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 1:29 a.m.