Triple

T4111014
Position Surface form Disambiguated ID Type / Status
Subject Vieux Fort E88570 entity
Predicate locatedSouthOf P9676 FINISHED
Object Castries E83411 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: Castries | Statement: [Vieux Fort, locatedSouthOf, Castries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castries
Context triple: [Vieux Fort, locatedSouthOf, Castries]
  • A. Castries chosen
    Castries is the largest city and main commercial and cultural center of Saint Lucia in the eastern Caribbean.
  • B. Gonaïves
    Gonaïves is a coastal city in western Haiti historically renowned as the birthplace of the nation’s independence and a center of political activity.
  • C. Pétion-Ville
    Pétion-Ville is a suburban commune in the hills southeast of Port-au-Prince, known as one of Haiti’s main residential and commercial centers.
  • D. Cap-Haïtien
    Cap-Haïtien is a historic coastal city in northern Haiti known for its colonial architecture and proximity to the UNESCO-listed Citadelle Laferrière fortress.
  • E. Port-la-Nouvelle
    Port-la-Nouvelle is a coastal commune and seaside resort in southern France known for its Mediterranean beaches and commercial port.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01dd7140819093d3332eb94a357c completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b88228c8190ae971b54148e38a9 completed March 14, 2026, 2:07 p.m.
Created at: March 9, 2026, 3:41 p.m.