Triple

T11962250
Position Surface form Disambiguated ID Type / Status
Subject Línea 6 E284696 entity
Predicate interchangeWithLine P42836 FINISHED
Object Línea 2
Línea 2 is a metro line that forms part of an urban rapid transit network and connects with other lines, including Línea 6, at designated interchange stations.
 E956941 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: Línea 2 | Statement: [Línea 6, interchangeWithLine, Línea 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Línea 2
Context triple: [Línea 6, interchangeWithLine, Línea 2]
  • A. Line 2–Green
    Line 2–Green is a major rapid transit line of the São Paulo Metro system, serving key central and eastern districts of São Paulo, Brazil.
  • B. Ligne 2
    Ligne 2 is a Paris Métro line forming a semicircular route through northern Paris, known for serving major districts such as Pigalle and Belleville.
  • C. Línea 6
    Línea 6 is a modern, fully automated metro line in Santiago, Chile, known for its advanced technology, safety features, and connection between key residential and commercial areas of the city.
  • D. Línea 6
    Línea 6 is a circular line of the Madrid Metro that loops around the city, connecting many major transfer stations and neighborhoods.
  • E. Line 2
    Line 2 is a major route of the Tunis Metro light rail network, serving key districts within 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: Línea 2
Triple: [Línea 6, interchangeWithLine, Línea 2]
Generated description
Línea 2 is a metro line that forms part of an urban rapid transit network and connects with other lines, including Línea 6, at designated interchange stations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Línea 2
Target entity description: Línea 2 is a metro line that forms part of an urban rapid transit network and connects with other lines, including Línea 6, at designated interchange stations.
  • A. Line 2–Green
    Line 2–Green is a major rapid transit line of the São Paulo Metro system, serving key central and eastern districts of São Paulo, Brazil.
  • B. Ligne 2
    Ligne 2 is a Paris Métro line forming a semicircular route through northern Paris, known for serving major districts such as Pigalle and Belleville.
  • C. Línea 6
    Línea 6 is a modern, fully automated metro line in Santiago, Chile, known for its advanced technology, safety features, and connection between key residential and commercial areas of the city.
  • D. Línea 6
    Línea 6 is a circular line of the Madrid Metro that loops around the city, connecting many major transfer stations and neighborhoods.
  • E. Line 2
    Line 2 is a major route of the Tunis Metro light rail network, serving key districts within the Tunis metropolitan area.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037848f481908276716675464464 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4594054f08190b28b35f62dfb9198 completed May 1, 2026, 7:41 a.m.
NEDg Description generation batch_69f45f89d5b08190a87312d96e61898a completed May 1, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69f464a5191881908e291943996169cb completed May 1, 2026, 8:30 a.m.
Created at: April 8, 2026, 9:45 p.m.