Triple

T23163218
Position Surface form Disambiguated ID Type / Status
Subject Diego Chará E578642 entity
Predicate familyName P18 FINISHED
Object Chará 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: Chará | Statement: [Diego Chará, familyName, Chará]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chará
Context triple: [Diego Chará, familyName, Chará]
  • A. Chará chosen
    Chará is a Spanish-language surname most notably associated with Colombian professional footballers such as Diego Chará.
  • B. Chaloub
    Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
  • C. Mirta
    Mirta is a feminine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Charalá
    Charalá is a historic colonial town in the Santander Department of Colombia, known for its role in independence-era uprisings and its traditional Andean culture.
  • E. Inta
    Inta is a town in Russia’s Komi Republic that serves as a gateway settlement for expeditions into the remote northern Ural Mountains, including routes toward Mount Narodnaya.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f29be30819091e18551044a98f3 completed April 29, 2026, 4:55 a.m.
Created at: April 17, 2026, 4:02 p.m.