Triple

T6884977
Position Surface form Disambiguated ID Type / Status
Subject Creel station E158895 entity
Predicate railwayLine P848 FINISHED
Object Chepe
Chepe is a scenic Mexican passenger train service that runs through the Copper Canyon region in the state of Chihuahua.
 E625983 NE FINISHED

How this triple was built (4 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: Chepe | Statement: [Creel station, railwayLine, Chepe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chepe
Context triple: [Creel station, railwayLine, Chepe]
  • A. Chacala
    Chacala is a small coastal village and beach destination on Mexico’s Pacific coast in the state of Nayarit, known for its tranquil atmosphere, surfing, and ecotourism.
  • B. Choachí
    Choachí is a mountainous municipality in the Cundinamarca Department of Colombia, known for its cool climate, natural landscapes, and proximity to Bogotá.
  • C. Cochimí
    Cochimí were an Indigenous people of the Baja California Peninsula in Mexico, known for their distinct language and traditional hunter-gatherer lifestyle.
  • D. Chimalistac
    Chimalistac is a historic, picturesque neighborhood in southern Mexico City known for its cobblestone streets, colonial-era chapels, and tranquil, tree-lined plazas.
  • E. Tezonco
    Tezonco is a metro station in Mexico City that serves the southeastern area of the city on the capital’s rapid transit network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chepe
Triple: [Creel station, railwayLine, Chepe]
Generated description
Chepe is a scenic Mexican passenger train service that runs through the Copper Canyon region in the state of Chihuahua.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chepe
Target entity description: Chepe is a scenic Mexican passenger train service that runs through the Copper Canyon region in the state of Chihuahua.
  • A. Chacala
    Chacala is a small coastal village and beach destination on Mexico’s Pacific coast in the state of Nayarit, known for its tranquil atmosphere, surfing, and ecotourism.
  • B. Choachí
    Choachí is a mountainous municipality in the Cundinamarca Department of Colombia, known for its cool climate, natural landscapes, and proximity to Bogotá.
  • C. Cochimí
    Cochimí were an Indigenous people of the Baja California Peninsula in Mexico, known for their distinct language and traditional hunter-gatherer lifestyle.
  • D. Chimalistac
    Chimalistac is a historic, picturesque neighborhood in southern Mexico City known for its cobblestone streets, colonial-era chapels, and tranquil, tree-lined plazas.
  • E. Tezonco
    Tezonco is a metro station in Mexico City that serves the southeastern area of the city on the capital’s rapid transit network.
  • F. None of above. chosen

Provenance (5 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_69c688342f6c8190ad7eea6ba262db99 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d90a2590819092ff253dd66ebe8b completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742d652088190a65e06eb7fe79cfc completed March 28, 2026, 2:54 a.m.
NEDg Description generation batch_69c7441117ec8190b9b355c474289010 completed March 28, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69c744a20bd481908a7c6aaa6383a68f completed March 28, 2026, 3:01 a.m.
Created at: March 27, 2026, 2:23 p.m.