Triple

T4132516
Position Surface form Disambiguated ID Type / Status
Subject Casablanca Tramway E85072 entity
Predicate hasLine P35 FINISHED
Object T4
T4 is a tram line that forms part of the urban light rail network serving the city of Casablanca, Morocco.
 E415136 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: T4 | Statement: [Casablanca Tramway, hasLine, T4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T4
Context triple: [Casablanca Tramway, hasLine, T4]
  • A. T4
    T4 is one of the lines of the Athens tram system, providing urban light-rail service across part of the Athens metropolitan area.
  • B. T4
    T4 is a light rail/tram line of the Trambesòs network serving the Barcelona metropolitan area.
  • 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 one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
  • E. T5
    T5 is one of the lines of the Athens tram system, providing light-rail transit service along part of the city’s coastal and urban 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: T4
Triple: [Casablanca Tramway, hasLine, T4]
Generated description
T4 is a tram line that forms part of the urban light rail network serving the city of Casablanca, Morocco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: T4
Target entity description: T4 is a tram line that forms part of the urban light rail network serving the city of Casablanca, Morocco.
  • A. T4
    T4 is a light rail/tram line of the Trambesòs network serving the Barcelona metropolitan area.
  • B. T4
    T4 is one of the lines of the Athens tram system, providing urban light-rail service across part of the Athens metropolitan area.
  • 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 one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
  • E. T5
    T5 is one of the lines of the Athens tram system, providing light-rail transit service along part of the city’s coastal and urban 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af022f55fc81909f2a1a04d0ea59e6 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576c4c0888190be156d093ea11207 completed March 14, 2026, 2:55 p.m.
NEDg Description generation batch_69b5780ac150819085bba7d3e94d702f completed March 14, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69b578b7eb0081909f25ed15fee1cf50 completed March 14, 2026, 3:03 p.m.
Created at: March 9, 2026, 3:42 p.m.