Triple

T4481835
Position Surface form Disambiguated ID Type / Status
Subject Line 2 (Mexico City Metro) E100151 entity
Predicate depot P14646 FINISHED
Object Tasqueña depot
Tasqueña depot is a maintenance and storage facility serving Mexico City Metro’s Line 2 near its southern terminus at Tasqueña station.
 E100156 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: Tasqueña depot | Statement: [Line 2 (Mexico City Metro), depot, Tasqueña depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tasqueña depot
Context triple: [Line 2 (Mexico City Metro), depot, Tasqueña depot]
  • A. Carnide depot
    Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
  • B. Bachet depot
    Bachet depot is a major tram maintenance and storage facility serving the public transport system in Geneva, Switzerland.
  • C. Ticomán depot
    Ticomán depot is a maintenance and storage facility serving trains of the Mexico City Metro system.
  • D. Gogar depot
    Gogar depot is the main maintenance and operations facility for the Edinburgh Trams light rail system in Edinburgh, Scotland.
  • E. Martinscroft
    Martinscroft is a stop on Greater Manchester’s Metrolink light rail network, located on the Airport Line.
  • 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: Tasqueña depot
Triple: [Line 2 (Mexico City Metro), depot, Tasqueña depot]
Generated description
Tasqueña depot is a maintenance and storage facility serving Mexico City Metro’s Line 2 near its southern terminus at Tasqueña station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tasqueña depot
Target entity description: Tasqueña depot is a maintenance and storage facility serving Mexico City Metro’s Line 2 near its southern terminus at Tasqueña station.
  • A. Carnide depot
    Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
  • B. Bachet depot
    Bachet depot is a major tram maintenance and storage facility serving the public transport system in Geneva, Switzerland.
  • C. Ticomán depot chosen
    Ticomán depot is a maintenance and storage facility serving trains of the Mexico City Metro system.
  • D. Gogar depot
    Gogar depot is the main maintenance and operations facility for the Edinburgh Trams light rail system in Edinburgh, Scotland.
  • E. Martinscroft
    Martinscroft is a stop on Greater Manchester’s Metrolink light rail network, located on the Airport Line.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356dddd488190bd5dedd3c0e77247 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b63782b8588190ba34c923ed4b792d completed March 15, 2026, 4:37 a.m.
NEDg Description generation batch_69b63b8ad4b08190a28c99918ece76b3 completed March 15, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_69b63c15a27c81908f3a444becd41b16 completed March 15, 2026, 4:56 a.m.
Created at: March 12, 2026, 11:36 p.m.