Triple

T15016557
Position Surface form Disambiguated ID Type / Status
Subject Requetés E377973 entity
Predicate notableLeader P304 FINISHED
Object José Enrique Varela E83900 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: José Enrique Varela | Statement: [Requetés, notableLeader, José Enrique Varela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: José Enrique Varela
Context triple: [Requetés, notableLeader, José Enrique Varela]
  • A. José Enrique Varela chosen
    José Enrique Varela was a Spanish Nationalist general and prominent military leader during the Spanish Civil War.
  • B. Florencio Varela
    Florencio Varela is a city in the southern part of Greater Buenos Aires, Argentina, known as a residential and industrial suburb of the capital.
  • C. Enrique Luis Varela
    Enrique Luis Varela was a Cuban architect known for designing prominent public buildings in Havana, including major governmental structures.
  • D. Enrique José Varona
    Enrique José Varona was a prominent Cuban philosopher, educator, and politician known for his influential role in shaping modern Cuban intellectual and educational thought.
  • E. José Rufino Echenique
    José Rufino Echenique was a 19th-century Peruvian military officer and politician who served as President of Peru from 1851 to 1855.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7633fcc8190b2231f43252bc46f completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a014819dfbc8190b39a10647f9ba64c completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 2:55 a.m.