Triple

T12851180
Position Surface form Disambiguated ID Type / Status
Subject Carnival in Saint Kitts E307322 entity
Predicate location P40 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: [Carnival in Saint Kitts, location, Basseterre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basseterre
Context triple: [Carnival in Saint Kitts, location, Basseterre]
  • A. Basseterre chosen
    Basseterre is the main urban, commercial, and administrative center of the Caribbean island nation of Saint Kitts and Nevis.
  • B. de Castries
    De Castries is a French noble family name historically associated with military and political figures, including officers in the French army.
  • C. Basseterre harbour
    Basseterre harbour is the main port and maritime gateway of Basseterre, the capital of Saint Kitts and Nevis in the Caribbean.
  • D. Roseau, Dominica
    Roseau, Dominica is the small Caribbean island nation’s capital and largest city, serving as its political, economic, and cultural center.
  • E. 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.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97020eacc81909357b3398d17dc49 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a549fc188190a7dfcf16faa5e415 completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:36 p.m.