Triple

T10445652
Position Surface form Disambiguated ID Type / Status
Subject Linköping Central Station E246279 entity
Predicate railwayLine P848 FINISHED
Object Tjustbanan
Tjustbanan is a regional railway line in southeastern Sweden that connects Linköping with coastal towns such as Västervik.
 E864267 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: Tjustbanan | Statement: [Linköping Central Station, railwayLine, Tjustbanan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tjustbanan
Context triple: [Linköping Central Station, railwayLine, Tjustbanan]
  • A. Bybanen
    Bybanen is the modern light rail system serving the Norwegian city of Bergen, providing frequent urban and suburban public transport.
  • B. Jærbanen
    Jærbanen is a regional railway line in southwestern Norway that runs along the Jæren coast, connecting Stavanger with surrounding towns and communities.
  • C. Bannik
    Bannik is a bathhouse-dwelling spirit in Slavic mythology, known for guarding the banya and sometimes scalding or frightening those who disrespect it.
  • D. Torggata
    Torggata is a central street in Oslo, Norway, known for its mix of shops, cafés, bars, and pedestrian-friendly urban life.
  • E. Västra stambanan
    Västra stambanan is one of Sweden’s main railway lines, connecting Stockholm with Gothenburg and serving as a key corridor for both passenger and freight traffic.
  • 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: Tjustbanan
Triple: [Linköping Central Station, railwayLine, Tjustbanan]
Generated description
Tjustbanan is a regional railway line in southeastern Sweden that connects Linköping with coastal towns such as Västervik.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tjustbanan
Target entity description: Tjustbanan is a regional railway line in southeastern Sweden that connects Linköping with coastal towns such as Västervik.
  • A. Bybanen
    Bybanen is the modern light rail system serving the Norwegian city of Bergen, providing frequent urban and suburban public transport.
  • B. Jærbanen
    Jærbanen is a regional railway line in southwestern Norway that runs along the Jæren coast, connecting Stavanger with surrounding towns and communities.
  • C. Bannik
    Bannik is a bathhouse-dwelling spirit in Slavic mythology, known for guarding the banya and sometimes scalding or frightening those who disrespect it.
  • D. Torggata
    Torggata is a central street in Oslo, Norway, known for its mix of shops, cafés, bars, and pedestrian-friendly urban life.
  • E. Västra stambanan
    Västra stambanan is one of Sweden’s main railway lines, connecting Stockholm with Gothenburg and serving as a key corridor for both passenger and freight traffic.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbf81508190a160edea85105d3a completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87eeae8788190b63534fa4f942ead completed April 10, 2026, 4:39 a.m.
NEDg Description generation batch_69d886c3fdcc8190a67a7f7788b8a2e8 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dc15ab481909011c5de93bbab14 completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:16 p.m.