Triple

T9581910
Position Surface form Disambiguated ID Type / Status
Subject Mexico City Metrobús E231191 entity
Predicate hasLine P35 FINISHED
Object Line 4
Line 4 is a bus rapid transit route of the Mexico City Metrobús system that primarily serves the city’s historic center and connects it with key transport hubs, including the airport.
E43363 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 4 | Statement: [Mexico City Metrobús, hasLine, Line 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 4
Context triple: [Mexico City Metrobús, hasLine, Line 4]
  • A. Line 4
    Line 4 is a rapid transit route of the STC Metro system, serving as one of its main urban rail lines.
  • B. Line 4
    Line 4 is a proposed circular metro line intended to complete and expand the Seville Metro network in Seville, Spain.
  • C. Line 4
    Line 4 is a major line of the Santiago Metro in Chile, serving key residential and commercial areas in the southeastern part of the city.
  • D. Line 4
    Line 4 is a major north–south rapid transit route in the Beijing Subway system, serving key commercial, residential, and university areas of the city.
  • E. Line 4
    Line 4 is a planned rapid transit route within the future Ho Chi Minh City Metro system in Vietnam.
  • 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 4
Triple: [Mexico City Metrobús, hasLine, Line 4]
Generated description
Line 4 is a bus rapid transit route of the Mexico City Metrobús system that primarily serves the city’s historic center and connects it with key transport hubs, including the airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 4
Target entity description: Line 4 is a bus rapid transit route of the Mexico City Metrobús system that primarily serves the city’s historic center and connects it with key transport hubs, including the airport.
  • A. Line 4 chosen
    Line 4 is a route of Mexico City’s Metrobús bus rapid transit system that serves key corridors with dedicated lanes and high-capacity articulated buses.
  • B. Line 4
    Line 4 is a rapid transit route of the STC Metro system, serving as one of its main urban rail lines.
  • C. Line 4
    Line 4 is a rapid transit line of the Nanjing Metro system in Nanjing, China, serving as one of the city's main urban rail corridors.
  • D. Line 4
    Line 4 is a major north–south rapid transit route in the Beijing Subway system, serving key commercial, residential, and university areas of the city.
  • E. Line 4
    Line 4 is one of the main lines of the Tehran Metro rapid transit system, serving key east–west corridors across Iran’s capital city.
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99cd59008190888eb11f00f61994 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1616a11688190ba47343e4fd913fd completed April 4, 2026, 7:07 p.m.
NEDg Description generation batch_69d16360b7708190bc23294f267ac695 completed April 4, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69d163e654388190ba9b617e6fac18ad completed April 4, 2026, 7:17 p.m.
Created at: March 30, 2026, 8:05 p.m.