Triple

T2206945
Position Surface form Disambiguated ID Type / Status
Subject Østfold Line E50820 entity
Predicate hasJunctionAt P1018 FINISHED
Object Oslo S E150936 NE FINISHED

How this triple was built (3 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: Oslo S | Statement: [Østfold Line, hasJunctionAt, Oslo S]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo S
Context triple: [Østfold Line, hasJunctionAt, Oslo S]
  • A. Sarpsborg
    Sarpsborg is a historic city and municipality in Viken county, Norway, known as one of the country’s oldest towns and an important industrial and administrative center in the Østfold region.
  • B. OsloMet
    OsloMet is a public university in Oslo, Norway, known for its professionally oriented programs and research in fields such as social sciences, health, technology, and education.
  • C. Sentrum, Oslo chosen
    Sentrum is the central borough of Oslo, Norway, encompassing the city’s main downtown area, key commercial districts, and major transport hubs.
  • D. Oslo
    Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
  • E. Sinsen
    Sinsen is a neighborhood and major transport hub in Oslo, Norway, known for its busy traffic interchange and public transit connections.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasJunctionAt
Context triple: [Østfold Line, hasJunctionAt, Oslo S]
  • A. hasJunctionWith chosen
    Indicates that one entity meets or intersects with another at a shared junction point.
  • B. hasJunctionNumbering
    Indicates that a road or route is assigned a specific numbering system for its junctions or intersections.
  • C. hasJunctionNumberingScheme
    Indicates the specific system or method used to assign numbers to junctions within a network (such as roads or railways).
  • D. nearJunctionOf
    Indicates that one entity is located close to the point where two or more linear features (such as roads, tracks, or paths) meet or intersect.
  • E. hasEntranceOn
    Indicates that one entity’s entrance or access point is located on or faces a specified side, boundary, or feature of another entity.
  • F. None of above.

Provenance (4 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1baa0948190b07ffc347a4f714e completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae654b89b081908f8c8b9bfc0b6579 completed March 9, 2026, 6:14 a.m.
PD Predicate disambiguation batch_69abbda8a6dc8190aa855ce2d17194b1 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:46 p.m.