Triple

T7074927
Position Surface form Disambiguated ID Type / Status
Subject Griffith, Indiana E164791 entity
Predicate adjacentTo P224 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: [Griffith, Indiana, adjacentTo, Highland, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highland, Indiana
Context triple: [Griffith, Indiana, adjacentTo, Highland, Indiana]
  • A. Highland, Indiana chosen
    Highland, Indiana is a suburban town in northwest Indiana that forms part of the Chicago metropolitan area.
  • B. 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.
  • C. Woodburn, Indiana
    Woodburn, Indiana is a small city in northeastern Indiana known as one of the easternmost communities in Allen County near the Ohio border.
  • D. Osceola, Indiana
    Osceola, Indiana is a small town in northern Indiana situated between the cities of South Bend and Elkhart.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ce3d3c81908cbb912b256aadbf completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c794641dd481908df979600b7a8e92 completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:40 p.m.