Triple

T14739719
Position Surface form Disambiguated ID Type / Status
Subject de Valdés E346311 entity
Predicate hasComponent P35 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: [de Valdés, hasComponent, Valdés]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdés
Context triple: [de Valdés, hasComponent, 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. Ossorio
    Ossorio is a Spanish-origin surname notably borne by Filipino-American abstract expressionist artist Alfonso Ossorio.
  • D. Puerto Edén
    Puerto Edén is a remote Chilean coastal village in the Patagonian fjords, known for its isolation and as one of the last strongholds of the indigenous Kawésqar culture.
  • E. 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.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7345680819093e901233a064e48 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ce6514c8190a37b023dcc0c1b1a completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:29 a.m.