Triple

T4259573
Position Surface form Disambiguated ID Type / Status
Subject Villeurbanne E96069 entity
Predicate hasTramLine P17788 FINISHED
Object T6
T6 is a tram line serving the Lyon metropolitan area, providing urban light-rail transit through Villeurbanne and neighboring districts.
 E427443 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: T6 | Statement: [Villeurbanne, hasTramLine, T6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T6
Context triple: [Villeurbanne, hasTramLine, T6]
  • A. T6
    T6 is a tram line within the Trambesòs light rail network serving the Barcelona metropolitan area.
  • B. D6
    D6 is the commonly used abbreviation for District 6, a designated administrative or electoral subdivision within a larger governmental or organizational structure.
  • C. T4
    T4 is one of the lines of the Athens tram system, providing urban light-rail service across part of the Athens metropolitan area.
  • D. T4
    T4 is a light rail/tram line of the Trambesòs network serving the Barcelona metropolitan area.
  • E. T4
    T4 is a tram line that forms part of the urban light rail network serving the city of Casablanca, Morocco.
  • 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: T6
Triple: [Villeurbanne, hasTramLine, T6]
Generated description
T6 is a tram line serving the Lyon metropolitan area, providing urban light-rail transit through Villeurbanne and neighboring districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: T6
Target entity description: T6 is a tram line serving the Lyon metropolitan area, providing urban light-rail transit through Villeurbanne and neighboring districts.
  • A. T6
    T6 is a tram line within the Trambesòs light rail network serving the Barcelona metropolitan area.
  • B. D6
    D6 is the commonly used abbreviation for District 6, a designated administrative or electoral subdivision within a larger governmental or organizational structure.
  • C. T4
    T4 is one of the lines of the Athens tram system, providing urban light-rail service across part of the Athens metropolitan area.
  • D. T4
    T4 is a light rail/tram line of the Trambesòs network serving the Barcelona metropolitan area.
  • E. T4
    T4 is a tram line that forms part of the urban light rail network serving the city of Casablanca, Morocco.
  • 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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34f7fe7348190baed8d214268b756 completed March 12, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b78825508190b2b6ca46c8e1b27c completed March 14, 2026, 7:31 p.m.
NEDg Description generation batch_69b5b84b58a081909618d0c108317f92 completed March 14, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5b8be90c88190a4852c625e326f6b completed March 14, 2026, 7:36 p.m.
Created at: March 12, 2026, 11:06 p.m.