Triple

T2280487
Position Surface form Disambiguated ID Type / Status
Subject Trambaix E51268 entity
Predicate operatedBy P86 FINISHED
Object TRAM
TRAM is the public tramway operator that manages several modern light rail lines in the Barcelona metropolitan area.
 E249591 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: TRAM | Statement: [Trambaix, operatedBy, TRAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TRAM
Context triple: [Trambaix, operatedBy, TRAM]
  • A. TRAX
    TRAX is the light rail system serving the Salt Lake City metropolitan area along Utah’s Wasatch Front.
  • B. TRA
    TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
  • C. CAMTR
    CAMTR is the UN/LOCODE identifier assigned to the Port of Montreal in Canada for international shipping and logistics.
  • D. New Tram
    New Tram is an automated guideway transit line in Osaka, Japan, operated as part of the Osaka Metro system.
  • E. Para Transpo
    Para Transpo is Ottawa’s specialized door-to-door public transit service providing accessible transportation for people with disabilities who cannot use conventional buses.
  • 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: TRAM
Triple: [Trambaix, operatedBy, TRAM]
Generated description
TRAM is the public tramway operator that manages several modern light rail lines in the Barcelona metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TRAM
Target entity description: TRAM is the public tramway operator that manages several modern light rail lines in the Barcelona metropolitan area.
  • A. TRAX
    TRAX is the light rail system serving the Salt Lake City metropolitan area along Utah’s Wasatch Front.
  • B. TRA
    TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
  • C. CAMTR
    CAMTR is the UN/LOCODE identifier assigned to the Port of Montreal in Canada for international shipping and logistics.
  • D. New Tram
    New Tram is an automated guideway transit line in Osaka, Japan, operated as part of the Osaka Metro system.
  • E. Para Transpo
    Para Transpo is Ottawa’s specialized door-to-door public transit service providing accessible transportation for people with disabilities who cannot use conventional buses.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc21ac3d48190abef254e1c3f45e8 completed March 7, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71e48fb081908498f826167020a2 completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae72bf22088190a2c111a71eb0dda7 completed March 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae731ab8bc819090fac5b311cb5fe0 completed March 9, 2026, 7:13 a.m.
Created at: March 4, 2026, 7:48 p.m.