Triple

T11326015
Position Surface form Disambiguated ID Type / Status
Subject Lake County, Indiana E268220 entity
Predicate contains P35 FINISHED
Object Highland, Indiana E169081 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: Highland, Indiana | Statement: [Lake County, Indiana, contains, Highland, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highland, Indiana
Context triple: [Lake County, Indiana, contains, Highland, Indiana]
  • A. Highland, Indiana chosen
    Highland, Indiana is a suburban town in northwest Indiana that forms part of the Chicago metropolitan area.
  • B. Kingsford Heights, Indiana
    Kingsford Heights, Indiana is a small town in LaPorte County known primarily as a residential community in the northwestern part of the state.
  • C. Riverside, Indiana
    Riverside, Indiana is an unincorporated community located within Huntington County in the U.S. state of Indiana.
  • D. Lowell, Indiana
    Lowell, Indiana is a small town in northwest Indiana known for its historic downtown, annual Labor Day Festival, and role as a residential community within the greater Chicago metropolitan area.
  • E. Horlacher, Indiana
    Horlacher, Indiana is a small unincorporated community located in Huntington County in the U.S. state of Indiana.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e2253881909518cad0f12ef612 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6554d0b0081909cc031ff06b796c0 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.