Triple

T6618680
Position Surface form Disambiguated ID Type / Status
Subject East Falkland E149620 entity
Predicate hasAirport P105 FINISHED
Object Stanley Airport E363549 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: Stanley Airport | Statement: [East Falkland, hasAirport, Stanley Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Airport
Context triple: [East Falkland, hasAirport, Stanley Airport]
  • A. Stanley Airport chosen
    Stanley Airport is a small public airfield serving the town of Stanley and surrounding areas in the Falkland Islands.
  • B. Stoolbend Airport
    Stoolbend Airport is a small local airfield serving the fictional town of Stoolbend in Virginia, typically depicted in animated television contexts.
  • C. Avalon Airport
    Avalon Airport is a regional airport in Victoria, Australia, serving the Greater Melbourne and Geelong areas with domestic flights and some international and low-cost carrier operations.
  • D. Jolly Grant Airport
    Jolly Grant Airport is a domestic airport serving the city of Dehradun and the surrounding region in the Indian state of Uttarakhand.
  • E. Addison Airport
    Addison Airport is a busy general aviation and reliever airport serving private, corporate, and charter flights in the Dallas–Fort Worth metropolitan area.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af5b21348190b7f09045e9ec7d63 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f78d41fc8190b883b83b267ec829 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 1:58 p.m.