Triple

T21302449
Position Surface form Disambiguated ID Type / Status
Subject Île-de-France tramway Line 2 E525102 entity
Predicate lineNumber P1864 FINISHED
Object T2
T2 is a light rail/tram line in the Île-de-France public transport network serving the western suburbs of Paris.
E1477517 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: T2 | Statement: [Île-de-France tramway Line 2, lineNumber, T2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T2
Context triple: [Île-de-France tramway Line 2, lineNumber, T2]
  • A. T2
    T2 is a TrawsCymru long-distance bus route in Wales providing inter-town public transport services.
  • B. T2
    T2 is San Francisco International Airport’s Terminal 2, a modern passenger terminal serving domestic flights with updated amenities and design.
  • C. T2
    T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
  • D. T2
    T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
  • E. T2
    T2 is the second passenger terminal at Chicago O'Hare International Airport, serving various domestic and regional airline operations.
  • 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: T2
Triple: [Île-de-France tramway Line 2, lineNumber, T2]
Generated description
T2 is a light rail/tram line in the Île-de-France public transport network serving the western suburbs of Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: T2
Target entity description: T2 is a light rail/tram line in the Île-de-France public transport network serving the western suburbs of Paris.
  • A. T2
    T2 is a tram line in the Lyon public transport network that connects key districts and suburbs of the city.
  • B. T2
    T2 is one of the main lines of the Dijon tramway system in Dijon, France, providing urban light-rail transit service across the city.
  • C. T2
    T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
  • D. T2
    T2 is a Sydney Trains suburban rail service designation used for the Inner West & Leppington Line in the Sydney metropolitan network.
  • E. T2
    T2 is a TrawsCymru long-distance bus route in Wales providing inter-town public transport services.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385cd6308190bf300494833b048f completed April 21, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099ed108ec81909042b00955d5cd0c completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a099f592488819098c54b433ce5e67e completed May 17, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a09a033f5108190b8000934050ad55e completed May 17, 2026, 11:02 a.m.
Created at: April 16, 2026, 4:05 p.m.