Triple

T3816949
Position Surface form Disambiguated ID Type / Status
Subject Governor-General of Saint Vincent and the Grenadines E84278 entity
Predicate seat P75 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: [Governor-General of Saint Vincent and the Grenadines, seat, Kingstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingstown
Context triple: [Governor-General of Saint Vincent and the Grenadines, seat, Kingstown]
  • A. 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.
  • B. Kingston
    Kingston is a small unincorporated community and historic mining town located in central Nevada, United States.
  • C. Kingston
    Kingston is a small city in eastern Tennessee that serves as the county seat of Roane County and lies within the greater Knoxville metropolitan area.
  • D. Kingston
    Kingston is a common English surname of Anglo-Saxon origin, historically associated with various towns named Kingston in England.
  • E. Kingston
    Kingston is a historic city in New York State known for being one of the state’s early capitals and a key cultural and economic center in the Hudson Valley region.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee8e1852c8190b61c507a7128d4c6 completed March 9, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51222e5b08190aa4ac79722219798 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:17 p.m.