Triple

T7584117
Position Surface form Disambiguated ID Type / Status
Subject Narvik railway station E179563 entity
Predicate connectsTo P845 FINISHED
Object Kiruna E179561 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: Kiruna | Statement: [Narvik railway station, connectsTo, Kiruna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiruna
Context triple: [Narvik railway station, connectsTo, Kiruna]
  • A. Kiruna chosen
    Kiruna is a mining town in northern Sweden known for its large iron ore mine and its location above the Arctic Circle.
  • B. Gällivare
    Gällivare is a mining town in northern Sweden known for its significant iron ore deposits and role in the region’s mining industry.
  • C. Narvik
    Narvik is a port town in northern Norway known for its strategic importance during World War II and as the site of major naval and land battles.
  • D. Haparanda
    Haparanda is a small Swedish town on the border with Finland, known as a key cross-border trading hub and the easternmost town in Sweden.
  • E. Norilsk
    Norilsk is a remote industrial city in northern Siberia, Russia, known for its massive nickel and palladium mining operations, extreme Arctic climate, and severe environmental pollution.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f993cd0c8190864f801074625a32 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac8a4e2c81909b8038b2da8e806d completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 3:52 p.m.