Triple

T22598440
Position Surface form Disambiguated ID Type / Status
Subject El Toro (Menorca) E574746 entity
Predicate hasNameInLanguage P15 FINISHED
Object Spanish: Monte Toro 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: Spanish: Monte Toro | Statement: [El Toro (Menorca), hasNameInLanguage, Spanish: Monte Toro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spanish: Monte Toro
Context triple: [El Toro (Menorca), hasNameInLanguage, Spanish: Monte Toro]
  • A. Monte Toro chosen
    Monte Toro is the tallest mountain on the Spanish island of Menorca, known for its panoramic views and a sanctuary at its summit.
  • B. Monte Galán
    Monte Galán is a volcano in Nicaragua that forms part of the Cordillera de los Maribios volcanic range.
  • C. Monteros
    Monteros is a city in northwestern Argentina located in Tucumán Province, known for its agricultural production and proximity to the Aconquija mountain range.
  • D. Montehermoso
    Montehermoso is a municipality in the province of Cáceres, Extremadura, Spain, known for its traditional crafts and rural character.
  • E. de Montejo
    de Montejo is the Spanish noble family name borne by several conquistadors involved in the 16th-century conquest and colonization of the Yucatán Peninsula.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1626aa0808190a43e65f6aaabfeb4 completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:50 p.m.