Triple

T7468976
Position Surface form Disambiguated ID Type / Status
Subject Viengsay Valdés E176455 entity
Predicate familyName P18 FINISHED
Object Valdés E530013 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: Valdés | Statement: [Viengsay Valdés, familyName, Valdés]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdés
Context triple: [Viengsay Valdés, familyName, Valdés]
  • A. Valdés chosen
    Valdés is a Spanish surname historically borne by various notable figures across the Spanish-speaking world.
  • B. Necochea
    Necochea is a coastal city and popular beach resort in southeastern Buenos Aires Province, Argentina, known for its wide sandy beaches and tourism.
  • C. Puerto Deseado
    Puerto Deseado is a coastal town in Argentina’s Santa Cruz Province, known as a fishing port and gateway to rich Patagonian marine wildlife and coastal landscapes.
  • D. Chilecito
    Chilecito is a city in northwestern Argentina known for its wine production, mining history, and scenic Andean surroundings.
  • E. Ancud
    Ancud is a coastal city on northern Chiloé Island in southern Chile, known historically as a Spanish stronghold and for its maritime heritage and nearby natural landscapes.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f6f23881908e3e80b0c7335a15 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83475392c8190a51d24e1530c0c83 completed March 28, 2026, 8:05 p.m.
Created at: March 27, 2026, 3:40 p.m.