Triple

T14175943
Position Surface form Disambiguated ID Type / Status
Subject Tramway T3b E351331 entity
Predicate lineDesignation P5539 FINISHED
Object T3b
T3b is a tram line in Paris that forms part of the Île-de-France tramway network.
 E1084467 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: T3b | Statement: [Tramway T3b, lineDesignation, T3b]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T3b
Context triple: [Tramway T3b, lineDesignation, T3b]
  • A. T3
    T3 is a tram line within the Casablanca Tramway network that serves as one of the city’s main urban light rail routes.
  • B. T3
    T3 is a tram line in the Lyon public transport network in France, connecting the city center with eastern suburbs and key hubs like Part-Dieu station and the Eurexpo exhibition center.
  • C. T3
    T3 is an American rapper best known as a founding member of the influential Detroit hip hop group Slum Village.
  • D. T3
    T3 is one of the main lines of the Athens tram system, providing light rail service that connects key coastal and urban areas of the city.
  • E. T3
    T3 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
  • 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: T3b
Triple: [Tramway T3b, lineDesignation, T3b]
Generated description
T3b is a tram line in Paris that forms part of the Île-de-France tramway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: T3b
Target entity description: T3b is a tram line in Paris that forms part of the Île-de-France tramway network.
  • A. T3
    T3 is a tram line within the Casablanca Tramway network that serves as one of the city’s main urban light rail routes.
  • B. T3
    T3 is an American rapper best known as a founding member of the influential Detroit hip hop group Slum Village.
  • C. T3
    T3 is one of the main lines of the Athens tram system, providing light rail service that connects key coastal and urban areas of the city.
  • D. T3
    T3 is a tram line in the Lyon public transport network in France, connecting the city center with eastern suburbs and key hubs like Part-Dieu station and the Eurexpo exhibition center.
  • E. T3
    T3 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61c76e8081909994b95b631100e9 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf80cdae88190ae987b49218c281d completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd067e73708190adcb4e1c2fbf210d completed May 7, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69fd0c5161dc8190a923c5b00dc5b53a completed May 7, 2026, 10:04 p.m.
Created at: April 10, 2026, 1:02 a.m.