Triple

T14735061
Position Surface form Disambiguated ID Type / Status
Subject Henry County, Indiana E346182 entity
Predicate hasTown P847 FINISHED
Object Shirley, Indiana E888347 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: Shirley, Indiana | Statement: [Henry County, Indiana, hasTown, Shirley, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shirley, Indiana
Context triple: [Henry County, Indiana, hasTown, Shirley, Indiana]
  • A. Shirley, Indiana chosen
    Shirley, Indiana is a small rural town in central Indiana that lies partly in Hancock County and is known for its quiet residential character.
  • B. Sheridan, Indiana
    Sheridan, Indiana is a small town in central Indiana known for its rural character and location within the Indianapolis metropolitan area.
  • C. Schereville, Indiana
    Schererville, Indiana is a suburban town in Lake County within the Chicago metropolitan area, known for its residential communities and commercial development.
  • D. Shelby, Indiana
    Shelby, Indiana is an unincorporated community in Lake County known for its rural character and proximity to the Kankakee River in northwestern Indiana.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73114cc819088e1101b689fc70b completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8e0d488190851d73b75ba4c0a6 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.