Triple

T16316235
Position Surface form Disambiguated ID Type / Status
Subject Will Schuester E396178 entity
Predicate homeTown P5864 FINISHED
Object Lima, Ohio (fictional) E469161 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: Lima, Ohio (fictional) | Statement: [Will Schuester, homeTown, Lima, Ohio (fictional)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lima, Ohio (fictional)
Context triple: [Will Schuester, homeTown, Lima, Ohio (fictional)]
  • A. Lima, Ohio chosen
    Lima, Ohio is a small Midwestern city best known in popular culture as the hometown setting of the television series "Glee."
  • B. Limaville, Ohio
    Limaville, Ohio is a small unincorporated community and census-designated place located in northeastern Ohio within Stark County.
  • C. Lisbon, Ohio
    Lisbon, Ohio is a small historic village in northeastern Ohio known for being one of the state's earliest settled communities and a center of local government and commerce in Columbiana County.
  • D. Minerva, Ohio
    Minerva, Ohio is a small village in northeastern Ohio known for its historic downtown and location along the historic Lincoln Highway.
  • E. Salem, Ohio
    Salem, Ohio is a small city in northeastern Ohio known historically for its role in the abolitionist movement and its manufacturing-based economy.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b1e9988190a1dce9f1ed7031df completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa9f6dc81908e6cbb4e340356e1 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.