Triple

T19912505
Position Surface form Disambiguated ID Type / Status
Subject Pantitlán E478582 entity
Predicate metroLine P848 FINISHED
Object Line 5
Line 5 is one of the lines of the Mexico City Metro system, running in a generally northeast–southwest direction and serving key stations including Pantitlán.
E105349 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 5 | Statement: [Pantitlán, metroLine, Line 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 5
Context triple: [Pantitlán, metroLine, Line 5]
  • A. Line 5
    Line 5 is a commuter rail line of the Tehran Metro system that connects central Tehran with its western suburbs and satellite cities.
  • B. Line 5
    Line 5 is one of the main lines of the Saint Petersburg Metro system, forming part of the city’s rapid transit network.
  • C. Line 5
    Line 5 is a major north–south route of the Beijing Subway known for connecting key residential and commercial areas through the city center.
  • D. Line 5
    Line 5 is a major east–west route of the Brussels Metro system, connecting key districts across the Belgian capital.
  • E. Line 5
    Line 5 is one of the routes of the Tunis Metro light rail network, serving passengers across part of the Tunis metropolitan area.
  • 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 5
Triple: [Pantitlán, metroLine, Line 5]
Generated description
Line 5 is one of the lines of the Mexico City Metro system, running in a generally northeast–southwest direction and serving key stations including Pantitlán.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 5
Target entity description: Line 5 is one of the lines of the Mexico City Metro system, running in a generally northeast–southwest direction and serving key stations including Pantitlán.
  • A. Line 5 chosen
    Line 5 is one of the lines of the Mexico City Metro system, serving multiple stations across the city as part of its rapid transit network.
  • B. Line 5
    Line 5 is a route of Mexico City’s Metrobús bus rapid transit system that serves key corridors with dedicated lanes and high-capacity articulated buses.
  • C. Line 5
    Line 5 is one of the main lines of the Paris Métro, running in a generally north–south direction and serving several key stations and neighborhoods across the city.
  • D. Line 5
    Line 5 is a major line of the Madrid Metro system known for connecting central Madrid with several eastern and western districts.
  • E. Line 5
    Line 5 is one of the main lines of the Santiago Metro in Chile, running across several key districts and serving as a major east–west transit corridor in the 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659917fdc8190bf29bfdab0fe8f85 completed April 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea4da7b08190a91e34dc73c45042 completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07ec5609748190b38b8bfce84924b5 completed May 16, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_6a07ed1b06a88190a837c3aaf32438c9 completed May 16, 2026, 4:05 a.m.
Created at: April 10, 2026, 1:53 p.m.