Triple

T12883102
Position Surface form Disambiguated ID Type / Status
Subject Porto Metro E308152 entity
Predicate hasLine P35 FINISHED
Object Line D
Line D is a major route of the Porto Metro light rail network in Porto, Portugal, connecting key areas of the city and its suburbs.
 E1009585 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 D | Statement: [Porto Metro, hasLine, Line D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line D
Context triple: [Porto Metro, hasLine, Line D]
  • A. Line D
    Line D is one of the main rapid transit lines of the Buenos Aires Underground, running through several central and northern neighborhoods of Argentina’s capital.
  • B. Line D
    Line D is one of the main routes of the Strasbourg tramway network, connecting key districts of the city and serving as an important corridor for daily commuters and visitors.
  • C. Line B
    Line B is one of the main rapid transit lines of the Medellín Metro system, serving several neighborhoods in the Aburrá Valley metropolitan area.
  • D. Line B
    Line B is a major Mexico City Metro route that runs diagonally across the city, connecting central areas with northeastern suburbs and serving as an important commuter corridor.
  • E. Line B
    Line B is one of the main lines of the Buenos Aires Underground, running through key commercial and residential areas 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 D
Triple: [Porto Metro, hasLine, Line D]
Generated description
Line D is a major route of the Porto Metro light rail network in Porto, Portugal, connecting key areas of the city and its suburbs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line D
Target entity description: Line D is a major route of the Porto Metro light rail network in Porto, Portugal, connecting key areas of the city and its suburbs.
  • A. Line D
    Line D is one of the main rapid transit lines of the Buenos Aires Underground, running through several central and northern neighborhoods of Argentina’s capital.
  • B. Line D
    Line D is one of the main routes of the Strasbourg tramway network, connecting key districts of the city and serving as an important corridor for daily commuters and visitors.
  • C. Line B
    Line B is one of the main rapid transit lines of the Medellín Metro system, serving several neighborhoods in the Aburrá Valley metropolitan area.
  • D. Line B
    Line B is one of the main tram routes in the Reims tramway network in Reims, France, providing urban public transport across key areas of the city.
  • E. Line B
    Line B is a major Mexico City Metro route that runs diagonally across the city, connecting central areas with northeastern suburbs and serving as an important commuter corridor.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fd15888190baf90fc30f2a3e25 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5556fe081909ada9d491b21b17b completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a616f6e4819096c9850434882548 completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a716bb2c81909dccc5ddbf3c92b5 completed May 3, 2026, 1:38 a.m.
Created at: April 9, 2026, 5:39 p.m.