Triple

T10428076
Position Surface form Disambiguated ID Type / Status
Subject Rygge E245836 entity
Predicate hasTransportInfrastructure P2560 FINISHED
Object Rygge Station E860798 NE FINISHED

How this triple was built (2 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: Rygge Station | Statement: [Rygge, hasTransportInfrastructure, Rygge Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rygge Station
Context triple: [Rygge, hasTransportInfrastructure, Rygge Station]
  • A. Rygge Station chosen
    Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
  • B. Verdal Station
    Verdal Station is a railway station in the town of Verdal in Trøndelag county, Norway, serving as a stop on the Nordland Line.
  • C. Vegårshei Station
    Vegårshei Station is a railway station in Vegårshei, Norway, serving as a local stop on the Sørlandet Line.
  • D. Elverum Station
    Elverum Station is a railway station in the town of Elverum in Innlandet county, Norway, serving as a regional transport hub on the Røros Line.
  • E. Hokksund Station
    Hokksund Station is a railway station in Hokksund, Norway, serving as a local and regional transport hub on the country’s rail network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4a7dcc81909a830e08656a1c0c completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d94afc8ef0819093791447d3c3c018 completed April 10, 2026, 7:09 p.m.
Created at: April 6, 2026, 12:13 p.m.