Triple

T2870802
Position Surface form Disambiguated ID Type / Status
Subject Saint Barthélemy E63554 entity
Predicate largestSettlement P163 FINISHED
Object Gustavia E324844 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: Gustavia | Statement: [Saint Barthélemy, largestSettlement, Gustavia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gustavia
Context triple: [Saint Barthélemy, largestSettlement, Gustavia]
  • A. Gustavia chosen
    Gustavia is the main town and administrative center of the Caribbean island of Saint Barthélemy, known for its picturesque harbor, upscale boutiques, and French colonial charm.
  • B. Dominica
    Dominica is a small island nation in the Caribbean known for its lush rainforests, volcanic landscapes, and rich biodiversity.
  • C. Saint Lucia
    Saint Lucia is a small Caribbean island nation known for its dramatic Piton mountains, lush rainforests, and popular beach resorts.
  • D. Martinique
    Martinique is a Caribbean island and French overseas region known for its blend of French and Creole culture, volcanic landscapes, and beaches.
  • E. Grenada
    Grenada is a small Caribbean island nation known for its spice production, picturesque beaches, and lush mountainous interior.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfe2dcb48190a194253e733d14af completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2033464fc8190b0eeeae9dc7f20b6 completed March 12, 2026, 12:05 a.m.
Created at: March 6, 2026, 10:02 p.m.