Triple

T7107769
Position Surface form Disambiguated ID Type / Status
Subject El Rosario E165629 entity
Predicate containsSettlement P847 FINISHED
Object La Esperanza E642557 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: La Esperanza | Statement: [El Rosario, containsSettlement, La Esperanza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Esperanza
Context triple: [El Rosario, containsSettlement, La Esperanza]
  • A. La Esperanza chosen
    La Esperanza is a municipality for which the town of El Rosario serves as the administrative capital.
  • B. Esperanza
    Esperanza is a municipality located in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and diverse cultural communities.
  • C. Esperanza
    Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
  • D. Nueva Paz
    Nueva Paz is a municipality in western Cuba known for its rural character and location within the province surrounding Havana.
  • E. Los Ríos
    Los Ríos is an administrative region in southern Chile known for its rivers, lakes, and temperate rainforests.
  • 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5bbd4e481909e0948d01c6b15f4 completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a325a07c81909bd9a8f5d4461fb9 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:42 p.m.