Triple

T6560908
Position Surface form Disambiguated ID Type / Status
Subject SITEUR E153779 entity
Predicate operatesSystem P3941 FINISHED
Object Mi Tren
Mi Tren is the electric light rail system serving the Guadalajara metropolitan area in the Mexican state of Jalisco.
 E600271 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: Mi Tren | Statement: [SITEUR, operatesSystem, Mi Tren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mi Tren
Context triple: [SITEUR, operatesSystem, Mi Tren]
  • A. Tren Urbano
    Tren Urbano is a rapid transit rail system serving the San Juan metropolitan area in Puerto Rico, providing urban mass transportation across key municipalities.
  • B. El Caminero
    El Caminero is a major southern terminal station of Mexico City’s Metrobús bus rapid transit system.
  • C. Mi Plan
    Mi Plan is Nelly Furtado’s first full-length Spanish-language studio album, blending Latin pop and romantic ballads.
  • D. Cercanías
    Cercanías is Spain’s network of suburban and commuter rail services that connect major cities with their surrounding metropolitan areas.
  • E. Solo mía
    "Solo mía" is a Spanish drama film known for its intense portrayal of domestic abuse and psychological violence within a marriage.
  • 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: Mi Tren
Triple: [SITEUR, operatesSystem, Mi Tren]
Generated description
Mi Tren is the electric light rail system serving the Guadalajara metropolitan area in the Mexican state of Jalisco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mi Tren
Target entity description: Mi Tren is the electric light rail system serving the Guadalajara metropolitan area in the Mexican state of Jalisco.
  • A. Tren Urbano
    Tren Urbano is a rapid transit rail system serving the San Juan metropolitan area in Puerto Rico, providing urban mass transportation across key municipalities.
  • B. El Caminero
    El Caminero is a major southern terminal station of Mexico City’s Metrobús bus rapid transit system.
  • C. Mi Plan
    Mi Plan is Nelly Furtado’s first full-length Spanish-language studio album, blending Latin pop and romantic ballads.
  • D. Cercanías
    Cercanías is Spain’s network of suburban and commuter rail services that connect major cities with their surrounding metropolitan areas.
  • E. Solo mía
    "Solo mía" is a Spanish drama film known for its intense portrayal of domestic abuse and psychological violence within a marriage.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae37a5b0819091692fc5def270b9 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb90ffd48190996a64d79f516e2c completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd05c54c81908bb612e7976bd10a completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdc3ea7c8190b63e9a19721fea80 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:52 p.m.