Triple

T584937
Position Surface form Disambiguated ID Type / Status
Subject Leeward Islands E15137 entity
Predicate hasMajorIsland P756 FINISHED
Object Saint Barthélemy E63554 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: Saint Barthélemy | Statement: [Leeward Islands, hasMajorIsland, Saint Barthélemy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Barthélemy
Context triple: [Leeward Islands, hasMajorIsland, Saint Barthélemy]
  • A. Saint Barthélemy chosen
    Saint Barthélemy is a small French Caribbean island known for its luxury tourism, upscale resorts, and status as an overseas collectivity of France.
  • B. Martinique
    Martinique is a Caribbean island and French overseas region known for its blend of French and Creole culture, volcanic landscapes, and beaches.
  • C. Guadeloupe
    Guadeloupe is a Caribbean archipelago that forms an overseas region and department of France, known for its blend of French and Creole culture, volcanic landscapes, and beaches.
  • D. Anguilla
    Anguilla is a British Overseas Territory in the Caribbean known for its pristine beaches, luxury tourism, and status as an associate member of regional Caribbean organizations.
  • E. Saint Lucia
    Saint Lucia is a small Caribbean island nation known for its dramatic Piton mountains, lush rainforests, and popular beach resorts.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9874c88190bd1e08d4689ea124 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c389eb708190911de8a28e55ab7f completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:33 p.m.