Triple

T12756754
Position Surface form Disambiguated ID Type / Status
Subject Lake Tenkiller E304879 entity
Predicate nearCity P350 FINISHED
Object Gore, Oklahoma E309034 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: Gore, Oklahoma | Statement: [Lake Tenkiller, nearCity, Gore, Oklahoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gore, Oklahoma
Context triple: [Lake Tenkiller, nearCity, Gore, Oklahoma]
  • A. Gore, Oklahoma chosen
    Gore, Oklahoma is a small town in Sequoyah County known for its proximity to the Illinois and Arkansas rivers and reputation as a popular destination for fishing and outdoor recreation.
  • B. Grove, Oklahoma
    Grove, Oklahoma is a small city in northeastern Oklahoma known for its location on Grand Lake O’ the Cherokees and its role as a recreational and tourism hub in the Green Country region.
  • C. Gate, Oklahoma
    Gate, Oklahoma is a small rural town in the Oklahoma Panhandle known for its agricultural community and location near the Kansas border.
  • D. Gage, Oklahoma
    Gage, Oklahoma is a small rural town in northwestern Oklahoma known for its agricultural community and location within Ellis County.
  • E. Okarche, Oklahoma
    Okarche, Oklahoma is a small town in central Oklahoma known for its German-Catholic heritage and popular fried chicken restaurants.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8b57b88190b29b8fdca415c81c completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b366470819093a74828e2a85116 completed May 8, 2026, 11:01 p.m.
Created at: April 9, 2026, 5:27 p.m.