Triple

T19432368
Position Surface form Disambiguated ID Type / Status
Subject Belo Horizonte Metro E486146 entity
Predicate plannedExpansion P54843 FINISHED
Object Line 2 (planned)
Line 2 (planned) is a proposed second metro line intended to expand and improve urban rail transit coverage in the Belo Horizonte metropolitan area.
 E1375478 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 2 (planned) | Statement: [Belo Horizonte Metro, plannedExpansion, Line 2 (planned)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 2 (planned)
Context triple: [Belo Horizonte Metro, plannedExpansion, Line 2 (planned)]
  • 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. Line 2
    Line 2 is a major route of the Tunis Metro light rail network, serving key districts within the Tunis metropolitan area.
  • C. Line 2
    Line 2 is one of the two automated light metro lines of the Lille Metro system in northern France, serving numerous stations across the metropolitan area.
  • D. Line 2
    Line 2 is a trolleybus route within Geneva’s public transport system that serves as one of the city’s main electric bus lines.
  • E. Line 2
    Line 2 is a rapid transit line of the Barcelona Metro system that serves several central and northern neighborhoods 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 2 (planned)
Triple: [Belo Horizonte Metro, plannedExpansion, Line 2 (planned)]
Generated description
Line 2 (planned) is a proposed second metro line intended to expand and improve urban rail transit coverage in the Belo Horizonte metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 2 (planned)
Target entity description: Line 2 (planned) is a proposed second metro line intended to expand and improve urban rail transit coverage in the Belo Horizonte metropolitan area.
  • 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. Line 2
    Line 2 is a major route of the Tunis Metro light rail network, serving key districts within the Tunis metropolitan area.
  • C. Line 2
    Line 2 is one of the two automated light metro lines of the Lille Metro system in northern France, serving numerous stations across the metropolitan area.
  • D. Line 2
    Line 2 is a trolleybus route within Geneva’s public transport system that serves as one of the city’s main electric bus lines.
  • E. Line 2
    Line 2 is a rapid transit line of the Barcelona Metro system that serves several central and northern neighborhoods of the city.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6335c2d7481909a44b45d95492e02 completed April 20, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733db04a481909405391fdb2eee32 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0734c0a8588190904537467c581442 completed May 15, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_6a073545b2e48190a8cb78cb25785017 completed May 15, 2026, 3:01 p.m.
Created at: April 10, 2026, 1:37 p.m.