Triple

T17778158
Position Surface form Disambiguated ID Type / Status
Subject Ferrería/Arena Ciudad de México E443826 entity
Predicate formerName P65 FINISHED
Object Ferrería 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: Ferrería | Statement: [Ferrería/Arena Ciudad de México, formerName, Ferrería]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferrería
Context triple: [Ferrería/Arena Ciudad de México, formerName, Ferrería]
  • A. Ferrería chosen
    Ferrería is a Mexico City Metro station on the city's Line 6 that serves the Azcapotzalco area and provides access to nearby venues such as the Arena Ciudad de México.
  • B. Alforja
    Alforja is a municipality in the Baix Camp comarca of the province of Tarragona in Catalonia, Spain.
  • C. Mondujar
    Mondujar is a village in the province of Granada, Spain, historically noted as the place where the Nasrid ruler Muley Hacén (Abu al-Hasan Ali) died.
  • D. Molinero
    Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
  • E. Molinos
    Molinos is a small historic town in Argentina’s Calchaquí Valleys, known for its colonial architecture, vineyards, and scenic Andean surroundings.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871e06a481909cf6d59e49dc21c5 completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:12 a.m.