Triple

T12746855
Position Surface form Disambiguated ID Type / Status
Subject Meridian Regional Airport E304626 entity
Predicate operator P179 FINISHED
Object City of Meridian E62223 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 Meridian | Statement: [Meridian Regional Airport, operator, City of Meridian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Meridian
Context triple: [Meridian Regional Airport, operator, City of Meridian]
  • A. City of Laurel
    The City of Laurel is a municipal government in Mississippi known for overseeing local services and infrastructure, including the Hattiesburg–Laurel Regional Airport.
  • B. Meridian, Mississippi chosen
    Meridian, Mississippi is a historic city in eastern Mississippi known as a regional transportation hub and cultural center.
  • C. Meridian
    Meridian is a 1976 novel by Alice Walker that explores the civil rights movement through the life of a young Black woman activist in the American South.
  • D. Meridian
    Meridian is a rapidly growing suburban city in southwestern Idaho, known for its family-friendly neighborhoods and proximity to Boise.
  • E. Meridian
    Meridian is a small unincorporated community in Sutter County, California, located in the Sacramento Valley near the Sacramento River.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd58d30819082af4edb4cd0b4ab completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a54061dc8190849855f035d63300 completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:27 p.m.