Triple

T16607465
Position Surface form Disambiguated ID Type / Status
Subject WOWO (AM) E403481 entity
Predicate cityOfLicense P4443 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: [WOWO (AM), cityOfLicense, Fort Wayne, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Wayne, Indiana
Context triple: [WOWO (AM), cityOfLicense, 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. Westville, Indiana
    Westville, Indiana is a small town in northwestern Indiana known for its rural character and proximity to larger cities like Michigan City and South Bend.
  • C. 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.
  • D. Columbus, Indiana
    Columbus, Indiana is a small Midwestern city renowned for its exceptional collection of modernist architecture and public art.
  • E. 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.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e36091de048190b40aa42b1a0681cc completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00bafb761881908e7a891ef390982a completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:17 a.m.