Triple

T7217656
Position Surface form Disambiguated ID Type / Status
Subject Boone County, Indiana E150175 entity
Predicate containsSettlement P847 FINISHED
Object Ulen, Indiana E562540 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: Ulen, Indiana | Statement: [Boone County, Indiana, containsSettlement, Ulen, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulen, Indiana
Context triple: [Boone County, Indiana, containsSettlement, Ulen, Indiana]
  • A. Ulen, Indiana chosen
    Ulen, Indiana is a small town located within Boone County that is part of the Indianapolis metropolitan area.
  • B. Osceola, Indiana
    Osceola, Indiana is a small town in northern Indiana situated between the cities of South Bend and Elkhart.
  • C. Kouts, Indiana
    Kouts, Indiana is a small rural town located in northwestern Indiana within the Chicago metropolitan region.
  • D. Walkerton, Indiana
    Walkerton, Indiana is a small town in northern Indiana known for its rural character and proximity to the South Bend metropolitan area.
  • E. Elwood, Indiana
    Elwood, Indiana is a small Midwestern city best known as the birthplace of 1940 Republican presidential nominee Wendell Willkie.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e99170d88190b1aef326a7d81134 completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbfb46388190992cc98039e71748 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:53 p.m.