Triple

T6403265
Position Surface form Disambiguated ID Type / Status
Subject Shannon Airport E144113 entity
Predicate nearCity P350 FINISHED
Object Ennis E416896 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: Ennis | Statement: [Shannon Airport, nearCity, Ennis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ennis
Context triple: [Shannon Airport, nearCity, Ennis]
  • A. Ennis
    Ennis is a small Texas city known for its historic downtown, annual Bluebonnet Trails Festival, and location along major transportation routes south of Dallas.
  • B. Ennis chosen
    Ennis is a town in County Clare, Ireland, historically notable as a parliamentary constituency represented in the UK Parliament.
  • C. Ennis-Hill
    Ennis-Hill is the hyphenated surname of British heptathlete and Olympic champion Jessica Ennis-Hill, adopted after her marriage.
  • D. Ennis Del Mar
    Ennis Del Mar is a reserved Wyoming ranch hand whose complex, decades-long romantic relationship with Jack Twist forms the emotional core of the film and short story "Brokeback Mountain."
  • E. Longaville
    Longaville is one of the three lords attending King Navarre in Shakespeare’s comedy *Love’s Labour’s Lost*, known for his vow of scholarly abstinence that is soon undermined by love.
  • 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c068af3f448190a94ecd5109e9e8e4 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638a6e6248190bda7ad3fbd8f4746 completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:35 p.m.