Triple

T8607742
Position Surface form Disambiguated ID Type / Status
Subject Fort Wayne TinCaps E203844 entity
Predicate basedIn P40 FINISHED
Object Fort Wayne, Indiana E40602 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: Fort Wayne, Indiana | Statement: [Fort Wayne TinCaps, basedIn, Fort Wayne, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Wayne, Indiana
Context triple: [Fort Wayne TinCaps, basedIn, Fort Wayne, Indiana]
  • A. Fort Wayne, Indiana chosen
    Fort Wayne, Indiana is a major city in northeastern Indiana known as a regional economic, cultural, and manufacturing hub.
  • B. 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.
  • C. Richmond, Indiana
    Richmond, Indiana is a small city in eastern Indiana known historically as a regional transportation hub and for its contributions to early jazz recording and manufacturing.
  • D. Mishawaka, Indiana
    Mishawaka, Indiana is a city in northern Indiana near South Bend, known for its manufacturing history and as the longtime base of vehicle maker AM General.
  • E. Atlanta, Indiana
    Atlanta, Indiana is a small rural town in central Indiana known for its close-knit community and annual New Earth Festival.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46ec301881908ce148a3f07069fe completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28344e80819085955004a631e654 completed April 3, 2026, 2:38 a.m.
Created at: March 30, 2026, 6:25 p.m.