Triple

T14237104
Position Surface form Disambiguated ID Type / Status
Subject Senate of Saint Lucia E352910 entity
Predicate meetsIn 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: [Senate of Saint Lucia, meetsIn, Castries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castries
Context triple: [Senate of Saint Lucia, meetsIn, 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62422e28819089e7115052a28c96 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b3a76ac819088587b9fa560b6dc completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:07 a.m.