Triple

T12067016
Position Surface form Disambiguated ID Type / Status
Subject St. Lucia Carnival E287322 entity
Predicate location P40 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: [St. Lucia Carnival, location, Castries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castries
Context triple: [St. Lucia Carnival, location, Castries]
  • A. Castries chosen
    Castries is the largest city and main commercial and cultural center of Saint Lucia in the eastern Caribbean.
  • 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. Port-Marly
    Port-Marly is a small riverside commune in north-central France, known for its picturesque setting along the Seine and its association with Impressionist painters.
  • D. 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.
  • E. 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.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904423dc08190a47194422255c62e completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f658bb38819097547d392fcc5405 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.