Triple

T5797367
Position Surface form Disambiguated ID Type / Status
Subject Oshkosh All-Stars E128538 entity
Predicate homeCity P263 FINISHED
Object Oshkosh E388756 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: Oshkosh | Statement: [Oshkosh All-Stars, homeCity, Oshkosh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oshkosh
Context triple: [Oshkosh All-Stars, homeCity, Oshkosh]
  • A. Oshkosh, Wisconsin chosen
    Oshkosh, Wisconsin is a city on the western shore of Lake Winnebago known for its historic manufacturing industry, the EAA AirVenture aviation festival, and its namesake OshKosh B’gosh clothing brand.
  • B. Rock Island
    Rock Island is a small, remote island in Lake Michigan known for its state park, historic lighthouse, and rustic natural setting accessible only by boat.
  • C. Manitowoc
    Manitowoc is a city in eastern Wisconsin on the shores of Lake Michigan, known historically for its shipbuilding and manufacturing industries.
  • D. Cudahy
    Cudahy is a small, densely populated city in southeastern Los Angeles County, California, known for its predominantly Latino community and urban residential character.
  • E. Orel
    Orel is a male given name most famously associated with former Major League Baseball pitcher Orel Hershiser.
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a945fe0819095e62d480c84a2b5 completed March 22, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c098302d4c81908b56747d304b3e6a completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:51 p.m.