Triple

T16202837
Position Surface form Disambiguated ID Type / Status
Subject Cabrera E393247 entity
Predicate hasVariantForm P457 FINISHED
Object Cabrero E105387 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: Cabrero | Statement: [Cabrera, hasVariantForm, Cabrero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabrero
Context triple: [Cabrera, hasVariantForm, Cabrero]
  • A. Cabrero chosen
    Cabrero is a small Chilean city located in the Biobío Region, known for its agricultural activities and role as a local transport and services hub.
  • B. Gaspardo
    Gaspardo is an Italian variant of the given name Gaspard, commonly used as a masculine first name and sometimes as a surname.
  • C. La Cabrera
    La Cabrera is a locality in Spain’s Province of León, known for its rural character and setting within the mountainous landscapes of northwestern Castile and León.
  • D. O’Donojú
    O’Donojú is the surname of Juan O’Donojú, the last Spanish political chief of New Spain who played a key role in Mexico’s transition to independence.
  • E. Fernandito
    Fernandito is a Spanish diminutive form of the given name Fernand, typically used as an affectionate or familiar nickname.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270b84408190bfbf68f32bfc5b1a completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff130bcc8190a965d90e123d2dd9 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:03 a.m.