Triple

T18721331
Position Surface form Disambiguated ID Type / Status
Subject Ciudad Azteca station E457780 entity
Predicate line P1293 FINISHED
Object Line B
Line B is a major line of the Mexico City Metro system that runs between Ciudad Azteca in the northeast and Buenavista near the city center.
 E101664 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: Line B | Statement: [Ciudad Azteca station, line, Line B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line B
Context triple: [Ciudad Azteca station, line, Line B]
  • A. Line B
    Line B is one of the main rapid transit lines of the Medellín Metro system, serving several neighborhoods in the Aburrá Valley metropolitan area.
  • B. Line B
    Line B is one of the main routes of the Porto Metro light rail system in Porto, Portugal, connecting key suburban areas with the city center.
  • C. Line B
    Line B is one of the main lines of the Buenos Aires Underground, running through key commercial and residential areas of the city.
  • D. Line B
    Line B is one of the main lines of the Prague Metro system, running east–west across the city and serving numerous central and residential districts.
  • E. Line B
    Line B is one of the main routes of the Orléans tramway system in France, providing urban light rail service across key districts of the city.
  • 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: Line B
Triple: [Ciudad Azteca station, line, Line B]
Generated description
Line B is a major line of the Mexico City Metro system that runs between Ciudad Azteca in the northeast and Buenavista near the city center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line B
Target entity description: Line B is a major line of the Mexico City Metro system that runs between Ciudad Azteca in the northeast and Buenavista near the city center.
  • A. Line B chosen
    Line B is a major Mexico City Metro route that runs diagonally across the city, connecting central areas with northeastern suburbs and serving as an important commuter corridor.
  • B. Line B
    Line B is one of the main lines of the Buenos Aires Underground, running through key commercial and residential areas of the city.
  • C. Line B
    Line B is one of the main rapid transit lines of the Medellín Metro system, serving several neighborhoods in the Aburrá Valley metropolitan area.
  • D. Line B
    Line B is one of the main lines of the Prague Metro system, running east–west across the city and serving numerous central and residential districts.
  • E. Line B
    Line B is one of the main routes of the Porto Metro light rail system in Porto, Portugal, connecting key suburban areas with the city center.
  • F. None of above.

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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56abadca08190ab1e699b7dcc0c4d completed April 19, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a053254700c8190a339be20720f5a33 completed May 14, 2026, 2:24 a.m.
NEDg Description generation batch_6a0532de03488190abb9df6ea06f1150 completed May 14, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0533b186f48190be42122527d43b5b completed May 14, 2026, 2:30 a.m.
Created at: April 10, 2026, 11:50 a.m.