Triple

T14435183
Position Surface form Disambiguated ID Type / Status
Subject Argyle International Airport E357940 entity
Predicate locatedNearCity P3883 FINISHED
Object Kingstown E71861 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: Kingstown | Statement: [Argyle International Airport, locatedNearCity, Kingstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingstown
Context triple: [Argyle International Airport, locatedNearCity, Kingstown]
  • A. Kingstown
    Kingstown is the former English name of the coastal Irish town now known as Dún Laoghaire, a major port and suburb of Dublin.
  • B. Kingstown chosen
    Kingstown is the main commercial and administrative center of Saint Vincent and the Grenadines, located on the southwestern coast of the island of Saint Vincent.
  • C. Kingston
    Kingston is a borough in northeastern Pennsylvania, United States, situated along the Susquehanna River near the city of Wilkes-Barre.
  • D. Kingston
    Kingston is a small unincorporated community and historic mining town located in central Nevada, United States.
  • E. Kingston
    Kingston is a residential suburb located on Portsea Island in the city of Portsmouth, England.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9148cf4481909082cc91b2f76218 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfcd67f081909f97bcf38d814a13 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 1:18 a.m.