Triple

T12003007
Position Surface form Disambiguated ID Type / Status
Subject Martin County, Indiana E285713 entity
Predicate countySeat P383 FINISHED
Object Shoals, Indiana E959379 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: Shoals, Indiana | Statement: [Martin County, Indiana, countySeat, Shoals, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shoals, Indiana
Context triple: [Martin County, Indiana, countySeat, Shoals, Indiana]
  • A. Shoals, Indiana chosen
    Shoals, Indiana is a small town in southern Indiana that serves as the administrative and economic center of rural Martin County.
  • B. Schley, Indiana
    Schley, Indiana is an unincorporated community located in Perry County in the southern part of the U.S. state of Indiana.
  • C. Rivare, Indiana
    Rivare, Indiana is a small unincorporated rural community located within Adams County in the northeastern part of the state.
  • D. Apalona, Indiana
    Apalona, Indiana is an unincorporated rural community located in Perry County in the southern part of the state.
  • E. St. John, Indiana
    St. John, Indiana is a suburban town in Lake County known for its residential communities, good schools, and proximity to the Chicago metropolitan area.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c36b248190b446b17def94885b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d259f7c81908366e7d9e61a6c73 completed May 1, 2026, 12:31 p.m.
Created at: April 8, 2026, 9:46 p.m.