Triple

T10914893
Position Surface form Disambiguated ID Type / Status
Subject Indiana University Kokomo E257793 entity
Predicate city P40 FINISHED
Object Kokomo, Indiana E523908 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: Kokomo, Indiana | Statement: [Indiana University Kokomo, city, Kokomo, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kokomo, Indiana
Context triple: [Indiana University Kokomo, city, Kokomo, Indiana]
  • A. Kokomo, Indiana chosen
    Kokomo, Indiana is a mid-sized industrial city in central Indiana known historically for its automotive manufacturing and technological innovation.
  • B. Kokomo
    "Kokomo" is a 1988 tropical-themed pop song by the Beach Boys that became one of their late-career hits and is widely associated with the film *Cocktail*.
  • C. Columbus, Indiana
    Columbus, Indiana is a small Midwestern city renowned for its exceptional collection of modernist architecture and public art.
  • D. Corydon, Indiana
    Corydon, Indiana is a historic town best known as Indiana’s first state capital and the site of the only Civil War battle fought in the state.
  • E. Wabash, Indiana
    Wabash, Indiana is a small Midwestern city known for its historic downtown and for being one of the first electrically lighted cities in the world.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77074c77c8190af91369eee11f1b7 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23bbf70688190be9315a75582dbe2 completed April 17, 2026, 1:55 p.m.
Created at: April 8, 2026, 9:22 p.m.