Triple

T6341617
Position Surface form Disambiguated ID Type / Status
Subject RE E142638 entity
Predicate countryName P1662 FINISHED
Object Réunion E26602 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: Réunion | Statement: [RE, countryName, Réunion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Réunion
Context triple: [RE, countryName, Réunion]
  • A. Réunion chosen
    Réunion is a French island and overseas department in the Indian Ocean known for its volcanic landscapes, multicultural population, and status as an outermost region of the European Union.
  • B. Mayotte
    Mayotte is a French overseas department and region located in the Indian Ocean between Madagascar and Mozambique, known for its lagoon and status within the European Union.
  • C. Saint-Pierre, Réunion
    Saint-Pierre is a coastal city on the French island of Réunion in the Indian Ocean that serves as an administrative center for France’s overseas territories in the southern Indian Ocean.
  • D. Mayotte La Première
    Mayotte La Première is a regional French public television channel serving the island of Mayotte as part of the overseas La Première network.
  • E. 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.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0674445748190bce2d638048be77c completed March 22, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c66376b63081909fefd93790fa4b55 completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:30 p.m.