Triple

T748312
Position Surface form Disambiguated ID Type / Status
Subject Saint Kitts and Nevis E15391 entity
Predicate largestCity P235 FINISHED
Object Basseterre E89945 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: Basseterre | Statement: [Saint Kitts and Nevis, largestCity, Basseterre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basseterre
Context triple: [Saint Kitts and Nevis, largestCity, Basseterre]
  • A. Basseterre chosen
    Basseterre is the main urban, commercial, and administrative center of the Caribbean island nation of Saint Kitts and Nevis.
  • B. Port of Spain
    Port of Spain is the capital city and main commercial and cultural center of Trinidad and Tobago, located on the northwest coast of the island of Trinidad.
  • C. Bridgetown
    Bridgetown is the largest city and main commercial and cultural center of Barbados, located on the island’s southwestern coast.
  • D. Castries
    Castries is the largest city and main commercial and cultural center of Saint Lucia in the eastern Caribbean.
  • E. Providenciales
    Providenciales is the most populous and developed island in the Turks and Caicos archipelago, known for its luxury resorts and renowned Grace Bay Beach.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a62f31888190b80cb0a7220f8d80 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66671ebd48190a785be0ae0d3588c completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:37 p.m.