Triple

T22962534
Position Surface form Disambiguated ID Type / Status
Subject Gråkallbanen E570939 entity
Predicate originalOperator P179 FINISHED
Object A/S Graakalbanen
A/S Graakalbanen was the company that historically operated the Gråkallbanen tramway line in Trondheim, Norway.
E1563110 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: A/S Graakalbanen | Statement: [Gråkallbanen, originalOperator, A/S Graakalbanen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A/S Graakalbanen
Context triple: [Gråkallbanen, originalOperator, A/S Graakalbanen]
  • A. Bybanen
    Bybanen is the modern light rail system serving the Norwegian city of Bergen, providing frequent urban and suburban public transport.
  • B. Gavlerinken
    Gavlerinken is the former name of Monitor ERP Arena, an indoor ice hockey and events venue in Gävle, Sweden.
  • C. Jærbanen
    Jærbanen is a regional railway line in southwestern Norway that runs along the Jæren coast, connecting Stavanger with surrounding towns and communities.
  • D. Bannen
    Bannen is a Scottish surname most notably associated with the acclaimed actor Ian Bannen.
  • E. Råket
    Råket is a small island that forms part of the Smøla archipelago in Møre og Romsdal county, Norway.
  • 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: A/S Graakalbanen
Triple: [Gråkallbanen, originalOperator, A/S Graakalbanen]
Generated description
A/S Graakalbanen was the company that historically operated the Gråkallbanen tramway line in Trondheim, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A/S Graakalbanen
Target entity description: A/S Graakalbanen was the company that historically operated the Gråkallbanen tramway line in Trondheim, Norway.
  • A. Bybanen
    Bybanen is the modern light rail system serving the Norwegian city of Bergen, providing frequent urban and suburban public transport.
  • B. Gavlerinken
    Gavlerinken is the former name of Monitor ERP Arena, an indoor ice hockey and events venue in Gävle, Sweden.
  • C. Jærbanen
    Jærbanen is a regional railway line in southwestern Norway that runs along the Jæren coast, connecting Stavanger with surrounding towns and communities.
  • D. Bannen
    Bannen is a Scottish surname most notably associated with the acclaimed actor Ian Bannen.
  • E. Råket
    Råket is a small island that forms part of the Smøla archipelago in Møre og Romsdal county, Norway.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f594fc8190816418486b798198 completed April 29, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca22caa88190889e965c78477a96 completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bcb1904c88190ac32e5709bc95858 completed May 19, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0bcbb8793881909621b16c9ad51cbb completed May 19, 2026, 2:32 a.m.
Created at: April 17, 2026, 3:47 p.m.