Triple

T3259511
Position Surface form Disambiguated ID Type / Status
Subject Strasbourg tramway E68375 entity
Predicate hasLine P35 FINISHED
Object 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.
 E341676 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: [Strasbourg tramway, hasLine, Line E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line E
Context triple: [Strasbourg tramway, 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 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 A
    Line A is one of the main tram lines serving the city of Reims, France, providing urban public transportation across key districts.
  • D. 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.
  • E. Line C
    Line C is one of the main lines of the Buenos Aires Underground, running north–south through central Buenos Aires and connecting key transport hubs in 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 E
Triple: [Strasbourg tramway, hasLine, Line E]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line E
Target entity description: 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.
  • 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 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 A
    Line A is one of the main tram lines serving the city of Reims, France, providing urban public transportation across key districts.
  • D. 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.
  • E. Line C
    Line C is one of the main lines of the Buenos Aires Underground, running north–south through central Buenos Aires and connecting key transport hubs in 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adafa4f40c81909adfd0f7f568e3ce completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ed941cc81909c35853e793d6ce5 completed March 12, 2026, 10 a.m.
NEDg Description generation batch_69b2900805d08190afbda5ee5e984b71 completed March 12, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69b2ac4c52d48190a87b1e535c2e8a37 completed March 12, 2026, 12:06 p.m.
Created at: March 8, 2026, 3:09 p.m.