Triple

T18091310
Position Surface form Disambiguated ID Type / Status
Subject Ferrocarril Chihuahua al Pacífico E432972 entity
Predicate passesNear P416 FINISHED
Object El Fuerte 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: El Fuerte | Statement: [Ferrocarril Chihuahua al Pacífico, passesNear, El Fuerte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Fuerte
Context triple: [Ferrocarril Chihuahua al Pacífico, passesNear, El Fuerte]
  • A. El Fuerte chosen
    El Fuerte is a historic colonial town and municipality in northern Sinaloa, Mexico, known for its Spanish-era architecture and role as a gateway to the Copper Canyon.
  • B. La Fuerte
    "La Fuerte" is a song by Colombian singer Shakira, featured on her album "Las Mujeres Ya No Lloran."
  • C. Fuerte
    "Fuerte" is a song featured on the album *Mi Plan* by Nelly Furtado.
  • D. Zona de los Fuertes
    Zona de los Fuertes is a historic hilltop area in Puebla, Mexico, known for its 19th-century forts, museums, and monuments commemorating the Battle of Puebla.
  • E. Frontera
    Frontera is a municipality on the Canary Island of El Hierro, Spain, known for its volcanic landscapes, coastal cliffs, and rural character.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd18b55081909c416fb7186bd4a4 completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.