Triple

T19497863
Position Surface form Disambiguated ID Type / Status
Subject Ramiro E487819 entity
Predicate hasVariantForm P457 FINISHED
Object Ramiro (Spanish form) 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: Ramiro (Spanish form) | Statement: [Ramiro, hasVariantForm, Ramiro (Spanish form)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramiro (Spanish form)
Context triple: [Ramiro, hasVariantForm, Ramiro (Spanish form)]
  • A. Ramiro chosen
    Ramiro is a masculine given name of Spanish and Portuguese origin, historically borne by several medieval kings and nobles in the Iberian Peninsula.
  • B. Ramon
    Ramon is a fictional evolved form or transformation of the character Raginmund, likely appearing in a fantasy or role-playing game setting.
  • C. Ramon
    Ramon is the surname of Ilan Ramon, the first Israeli astronaut and a payload specialist on the Space Shuttle Columbia.
  • D. Ramon
    Ramon is a municipality in the Philippine province of Isabela, known primarily as an agricultural area supported by irrigation from the nearby Magat Dam.
  • E. Ramón
    Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63493232881909fc33fb84da3e1b5 completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:40 p.m.