Triple

T8181527
Position Surface form Disambiguated ID Type / Status
Subject San Martín Line E191072 entity
Predicate formerOperator P179 FINISHED
Object Metropolitano
Metropolitano is a former operator of the San Martín Line, a railway service in Argentina.
 E717934 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: Metropolitano | Statement: [San Martín Line, formerOperator, Metropolitano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Metropolitano
Context triple: [San Martín Line, formerOperator, Metropolitano]
  • A. Metros
    Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
  • B. Cívitas Metropolitano
    Cívitas Metropolitano is a modern football stadium in Madrid, Spain, best known as the home ground of La Liga club Atlético de Madrid.
  • C. Premetro
    Premetro is a light rail or tramway feeder line that connects outlying neighborhoods to the main Buenos Aires Subte (subway) network.
  • D. Muni
    Muni is an honorific title traditionally used in Indian culture to denote a sage, seer, or revered spiritual teacher.
  • E. Muni
    Muni is San Francisco’s primary public transit agency, operating buses, light rail, historic streetcars, and the city’s iconic cable cars.
  • 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: Metropolitano
Triple: [San Martín Line, formerOperator, Metropolitano]
Generated description
Metropolitano is a former operator of the San Martín Line, a railway service in Argentina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Metropolitano
Target entity description: Metropolitano is a former operator of the San Martín Line, a railway service in Argentina.
  • A. Metros
    Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
  • B. Cívitas Metropolitano
    Cívitas Metropolitano is a modern football stadium in Madrid, Spain, best known as the home ground of La Liga club Atlético de Madrid.
  • C. Premetro
    Premetro is a light rail or tramway feeder line that connects outlying neighborhoods to the main Buenos Aires Subte (subway) network.
  • D. Muni
    Muni is an honorific title traditionally used in Indian culture to denote a sage, seer, or revered spiritual teacher.
  • E. Muni
    Muni is San Francisco’s primary public transit agency, operating buses, light rail, historic streetcars, and the city’s iconic cable cars.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c4c2e388190b86854f8b1765e61 completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced6fd33081909512adbe559b2c7a completed April 1, 2026, 10:03 a.m.
NEDg Description generation batch_69ccf09b827881908e7fd7e9ff251674 completed April 1, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69cd0579b6d08190a5c68d730e1c6284 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:40 p.m.