Triple

T10852445
Position Surface form Disambiguated ID Type / Status
Subject Askim municipality E256180 entity
Predicate hasRailwayStation P918 FINISHED
Object Askim Station E256181 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: Askim Station | Statement: [Askim municipality, hasRailwayStation, Askim Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Askim Station
Context triple: [Askim municipality, hasRailwayStation, Askim Station]
  • A. Askim Station chosen
    Askim Station is a railway station serving the town of Askim in Viken county, Norway, on the Eastern Østfold Line.
  • B. Sajik Station
    Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • C. Dorasan Station
    Dorasan Station is a symbolic railway station in South Korea near the Demilitarized Zone, built as a hopeful future gateway for rail travel and trade between South and North Korea.
  • D. Sasang Station
    Sasang Station is a major railway and subway interchange in Busan, South Korea, serving as a key transit hub for both local and intercity travel.
  • E. Jang Bogo Station
    Jang Bogo Station is a South Korean Antarctic research base located on the Scott Coast of Victoria Land, supporting studies in fields such as climate science, glaciology, and marine biology.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75117b76c8190b0fb216b1428c3c7 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7cc0d648190afb0ce80bac7f3dc completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.