Triple

T15928496
Position Surface form Disambiguated ID Type / Status
Subject Lyon tram line T2 E386264 entity
Predicate networkMapLabel P13793 FINISHED
Object T2
T2 is a tram line in the Lyon public transport network that connects key districts and suburbs of the city.
E1184908 NE FINISHED

How this triple was built (5 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: [Lyon tram line T2, networkMapLabel, T2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T2
Context triple: [Lyon tram line T2, networkMapLabel, T2]
  • A. T2
    T2 is San Francisco International Airport’s Terminal 2, a modern passenger terminal serving domestic flights with updated amenities and design.
  • B. T2
    T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
  • C. T2
    T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
  • D. T2
    T2 is the second passenger terminal at Chicago O'Hare International Airport, serving various domestic and regional airline operations.
  • E. T2
    T2 is a shorthand title for the 1991 science fiction action film "Terminator 2: Judgment Day," directed by James Cameron and starring Arnold Schwarzenegger.
  • 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: [Lyon tram line T2, networkMapLabel, T2]
Generated description
T2 is a tram line in the Lyon public transport network that connects key districts and suburbs of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: T2
Target entity description: T2 is a tram line in the Lyon public transport network that connects key districts and suburbs of the city.
  • A. 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.
  • B. T2
    T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
  • C. T2
    T2 is a Sydney Trains suburban rail service designation used for the Inner West & Leppington Line in the Sydney metropolitan network.
  • D. T2
    T2 is the second passenger terminal at Chicago O'Hare International Airport, serving various domestic and regional airline operations.
  • E. T2
    T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: networkMapLabel
Context triple: [Lyon tram line T2, networkMapLabel, T2]
  • A. networkMapName
    Indicates the designated name or label assigned to a particular network map within a system or context.
  • B. networkMap
    Indicates a mapping relationship that shows how elements in a network are connected or arranged relative to one another.
  • C. networkMapGroup
    Indicates a grouping relationship where multiple network elements are organized or associated together within a defined network map or topology group.
  • D. mapLabel chosen
    Indicates that a label or name is assigned to a map or mapped entity for identification or display.
  • E. networkModel
    Indicates a relationship where an entity is represented or organized according to a specific network-based structure or framework.
  • F. None of above.

Provenance (6 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e172b48b308190bc430b2308cbc75b completed April 16, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b0833081909668c042234b5b75 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb6a526188190be80658fb23cacbd completed May 9, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_69ffb71cea948190a1c5998654aee8d5 completed May 9, 2026, 10:37 p.m.
PD Predicate disambiguation batch_69e142cf5c548190a931f7b58144cd31 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:52 a.m.