Triple

T9348454
Position Surface form Disambiguated ID Type / Status
Subject Parkview Field E224953 entity
Predicate owner P347 FINISHED
Object City of Fort Wayne 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: City of Fort Wayne | Statement: [Parkview Field, owner, City of Fort Wayne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Fort Wayne
Context triple: [Parkview Field, owner, City of Fort Wayne]
  • 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. City of Tiffin
    The City of Tiffin is the municipal government responsible for providing local services, administration, and regulations for the community of Tiffin, Iowa.
  • C. Warsaw, Indiana
    Warsaw, Indiana is a small city in northern Indiana known as the "Orthopedic Capital of the World" for its concentration of medical device manufacturers.
  • D. Oakland City, Indiana
    Oakland City, Indiana is a small city in Gibson County known for being home to Oakland City University and serving as a local educational and agricultural hub in southwestern Indiana.
  • E. 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.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f107f0081908938f4b814eca5fc completed April 1, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e432106c81908ae080f37bc80f3f completed April 4, 2026, 10:13 a.m.
Created at: March 30, 2026, 7:41 p.m.