Triple

T12505760
Position Surface form Disambiguated ID Type / Status
Subject Spiro, Oklahoma E298942 entity
Predicate hasNearbyCity P350 FINISHED
Object Monroe, Oklahoma E1064047 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: Monroe, Oklahoma | Statement: [Spiro, Oklahoma, hasNearbyCity, Monroe, Oklahoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monroe, Oklahoma
Context triple: [Spiro, Oklahoma, hasNearbyCity, Monroe, Oklahoma]
  • A. Monroe, Oklahoma chosen
    Monroe, Oklahoma is a small rural community located in Le Flore County in eastern Oklahoma.
  • B. Morrison, Oklahoma
    Morrison, Oklahoma is a small rural town in north-central Oklahoma known for its agricultural community and strong local school sports traditions.
  • C. Shattuck, Oklahoma
    Shattuck, Oklahoma is a small town in northwestern Oklahoma known for its rural character and historic windmill park.
  • D. Madill, Oklahoma
    Madill, Oklahoma is a small city in southern Oklahoma that serves as the county seat of Marshall County and a local hub within the Texoma region.
  • E. Muskogee, Oklahoma
    Muskogee, Oklahoma is a city in eastern Oklahoma known historically as a regional commercial and transportation hub and for its role in Native American and frontier history.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfddf38819099263b8b1e804736 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb63c80048190be87b41cdd4ac775 completed May 7, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:57 p.m.