Triple

T15736046
Position Surface form Disambiguated ID Type / Status
Subject Port Elizabeth E381472 entity
Predicate governingCountryCapital P204 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: [Port Elizabeth, governingCountryCapital, Kingstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingstown
Context triple: [Port Elizabeth, governingCountryCapital, 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd586a88190aa1b1b88368d386f completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb03539c081908b5df46bb810b949 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:46 a.m.