Triple

T22861270
Position Surface form Disambiguated ID Type / Status
Subject Olga Carmona E566927 entity
Predicate familyName P18 FINISHED
Object Carmona NE NERFINISHED

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: Carmona | Statement: [Olga Carmona, familyName, Carmona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmona
Context triple: [Olga Carmona, familyName, Carmona]
  • A. Carmona
    Carmona is a municipality in the province of Cavite in the Philippines, known for its mix of residential communities and industrial estates.
  • B. Carmona
    Carmona is a historic town in southern Spain renowned for its well-preserved medieval and Moorish architecture, including ancient city walls and hilltop fortifications.
  • C. Carmona chosen
    Carmona is a Spanish-origin surname borne by people in various countries, notably in Spain and Latin America.
  • D. San Pedro City
    San Pedro City is a highly urbanized city in the province of Laguna in the Philippines, known as a residential and industrial suburb just south of Metro Manila.
  • E. Las Piñas
    Las Piñas is a highly urbanized city in the southern part of Metro Manila in the Philippines, known for its residential communities and the historic Bamboo Organ.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17efcc1308190a95d10e431295ca2 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:37 p.m.