Triple

T12883103
Position Surface form Disambiguated ID Type / Status
Subject Porto Metro E308152 entity
Predicate hasLine P35 FINISHED
Object Line E
Line E is a light rail route of the Porto Metro system in Portugal, connecting key areas of the metropolitan region.
 E1009586 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 E | Statement: [Porto Metro, hasLine, Line E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line E
Context triple: [Porto Metro, hasLine, Line E]
  • A. Line E
    Line E is one of the lines of the Buenos Aires Underground, serving as a key rapid transit route across parts of the Argentine capital.
  • B. Line E
    Line E is one of the routes of the Strasbourg tramway network, providing urban light-rail transit service across parts of Strasbourg and its surrounding areas.
  • C. Line L
    Line L is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the main urban transit network.
  • D. E line
    The E line is a rapid transit service of the New York City Subway that runs primarily along the IND Eighth Avenue Line in Manhattan and Queens.
  • E. Line P
    Line P is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the city’s main mass transit network.
  • 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 E
Triple: [Porto Metro, hasLine, Line E]
Generated description
Line E is a light rail route of the Porto Metro system in Portugal, connecting key areas of the metropolitan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line E
Target entity description: Line E is a light rail route of the Porto Metro system in Portugal, connecting key areas of the metropolitan region.
  • A. Line E
    Line E is one of the lines of the Buenos Aires Underground, serving as a key rapid transit route across parts of the Argentine capital.
  • B. Line E
    Line E is one of the routes of the Strasbourg tramway network, providing urban light-rail transit service across parts of Strasbourg and its surrounding areas.
  • C. Line L
    Line L is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the main urban transit network.
  • D. E line
    The E line is a rapid transit service of the New York City Subway that runs primarily along the IND Eighth Avenue Line in Manhattan and Queens.
  • E. Line P
    Line P is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the city’s main mass transit network.
  • 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.