Triple

T22014427
Position Surface form Disambiguated ID Type / Status
Subject Lebanon Municipal Airport E543670 entity
Predicate owner P347 FINISHED
Object City of Lebanon NE NERFINISHED

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 Lebanon | Statement: [Lebanon Municipal Airport, owner, City of Lebanon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Lebanon
Context triple: [Lebanon Municipal Airport, owner, City of Lebanon]
  • A. City of Lebanon
    The City of Lebanon is a small Pennsylvania city that serves as the economic and administrative center of Lebanon County.
  • B. City of Lebanon (likely) chosen
    The City of Lebanon is a municipal government in southwestern Ohio responsible for providing local services, infrastructure, and public amenities to the community.
  • C. City of Shelby
    The City of Shelby is a municipal government in North Carolina responsible for administering local services, regulations, and preservation efforts, including oversight of the Shelby Central Historic District.
  • D. City of Franklin
    The City of Franklin is a suburban municipality in southeastern Wisconsin known for its residential communities, parks, and proximity to Milwaukee.
  • E. Mount Lebanon
    Mount Lebanon is a historic mountainous region in modern-day Lebanon that has long served as a cultural and political heartland for the Druze community.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a6bf6081909865781ea7937a1b completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.