Triple

T9021660
Position Surface form Disambiguated ID Type / Status
Subject KCMI E215738 entity
Predicate cityServed P82 FINISHED
Object Urbana E379467 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: Urbana | Statement: [KCMI, cityServed, Urbana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urbana
Context triple: [KCMI, cityServed, Urbana]
  • A. Urbana chosen
    Urbana is a city in central Illinois best known as one of the twin cities forming the home of the University of Illinois at Urbana-Champaign.
  • B. Bloomington, Illinois
    Bloomington, Illinois is a central Illinois city known as a regional hub for education, insurance, and transportation, and for being home to Illinois State University (in adjacent Normal) and major corporate offices.
  • C. Peoria
    Peoria is a suburban city in the Phoenix metropolitan area of central Arizona, known for its rapid growth, residential communities, and recreational amenities.
  • D. Berkeley, Illinois
    Berkeley, Illinois is a small suburban village in Cook County, west of Chicago, known for its residential character and proximity to major transportation routes.
  • E. Bloomington
    Bloomington is a major suburban city in the Minneapolis–Saint Paul metropolitan area, best known as the home of the Mall of America and a significant regional commercial and hospitality hub.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a43add08190983b7ac88576fd7e completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0543ddf6881908e9add22083d652d completed April 3, 2026, 11:58 p.m.
Created at: March 30, 2026, 7:07 p.m.