Triple

T604028
Position Surface form Disambiguated ID Type / Status
Subject Barbados E11557 entity
Predicate largestCity P235 FINISHED
Object Bridgetown E75959 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: Bridgetown | Statement: [Barbados, largestCity, Bridgetown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridgetown
Context triple: [Barbados, largestCity, Bridgetown]
  • A. Bridgetown chosen
    Bridgetown is the largest city and main commercial and cultural center of Barbados, located on the island’s southwestern coast.
  • B. Kingstown
    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. Francistown
    Francistown is a major city in northeastern Botswana, historically known as a gold-mining center and an important commercial hub near the border with Zimbabwe.
  • D. Kingston
    Kingston is a historic Canadian city in eastern Ontario, located where the St. Lawrence River meets Lake Ontario, known for its limestone architecture and role as a former capital of the Province of Canada.
  • E. Kingston
    Kingston is the largest city of Jamaica and its political, cultural, and economic center.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49dc67b248190b0bb195553f03be8 completed March 1, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a52eab1dc88190892cf500465db72a completed March 2, 2026, 6:31 a.m.
Created at: March 1, 2026, 7:35 p.m.