Triple

T2456180
Position Surface form Disambiguated ID Type / Status
Subject Tramway de Reims E54426 entity
Predicate hasLine P35 FINISHED
Object Line A
Line A is one of the main tram lines serving the city of Reims, France, providing urban public transportation across key districts.
 E267872 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 A | Statement: [Tramway de Reims, hasLine, Line A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line A
Context triple: [Tramway de Reims, hasLine, Line A]
  • A. Line A
    Line A is a line of the Mexico City Metro system that serves the eastern part of the metropolitan area, connecting central Mexico City with several suburban municipalities.
  • B. Line A
    Line A is the historic first subway line of the Buenos Aires Underground, known for its early 20th-century wooden cars and route through central neighborhoods.
  • C. 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.
  • 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 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.
  • 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 A
Triple: [Tramway de Reims, hasLine, Line A]
Generated description
Line A is one of the main tram lines serving the city of Reims, France, providing urban public transportation across key districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line A
Target entity description: Line A is one of the main tram lines serving the city of Reims, France, providing urban public transportation across key districts.
  • A. Line A
    Line A is a line of the Mexico City Metro system that serves the eastern part of the metropolitan area, connecting central Mexico City with several suburban municipalities.
  • B. Line A
    Line A is the historic first subway line of the Buenos Aires Underground, known for its early 20th-century wooden cars and route through central neighborhoods.
  • C. 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.
  • 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 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.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd106f4608190ae17ddbd24fad97e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0ca655c81908612983ced5f5786 completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef50bc7ac8190add8ee63c5621dc1 completed March 9, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69aef632e2e08190b21023cbb0f12be8 completed March 9, 2026, 4:32 p.m.
Created at: March 6, 2026, 9:44 p.m.