Triple

T12251084
Position Surface form Disambiguated ID Type / Status
Subject Orléans tramway E291971 entity
Predicate hasLine P35 FINISHED
Object Line B
Line B is one of the main routes of the Orléans tramway system in France, providing urban light rail service across key districts of the city.
 E976471 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 B | Statement: [Orléans tramway, hasLine, Line B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line B
Context triple: [Orléans tramway, hasLine, Line B]
  • A. 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.
  • B. Line B
    Line B is one of the main routes of the Strasbourg tramway network, serving key districts and connecting important transit hubs across the city.
  • 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 lines of the Buenos Aires Underground, running through key commercial and residential 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
  • 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 B
Triple: [Orléans tramway, hasLine, Line B]
Generated description
Line B is one of the main routes of the Orléans tramway system in France, providing urban light rail service across key districts of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line B
Target entity description: Line B is one of the main routes of the Orléans tramway system in France, providing urban light rail service across key districts of the city.
  • A. 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.
  • B. Line B
    Line B is one of the main routes of the Strasbourg tramway network, serving key districts and connecting important transit hubs across the city.
  • 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 one of the main lines of the Prague Metro system, running east–west across the city and serving numerous central and residential districts.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc6983c81909bf479d15879a357 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e620ed88190b46d256ebe994714 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f622a646c481908164ae5387625bb4 completed May 2, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_69f623f5aa608190bce3e62e08077216 completed May 2, 2026, 4:19 p.m.
Created at: April 8, 2026, 9:52 p.m.