Triple

T23076575
Position Surface form Disambiguated ID Type / Status
Subject Hauketo E575346 entity
Predicate hasTransportConnection P845 FINISHED
Object Hauketo Station NE NERFINISHED

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: Hauketo Station | Statement: [Hauketo, hasTransportConnection, Hauketo Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hauketo Station
Context triple: [Hauketo, hasTransportConnection, Hauketo Station]
  • A. Hauketo Station chosen
    Hauketo Station is a railway station in Oslo, Norway, serving the Hauketo area and surrounding neighborhoods with commuter rail connections.
  • B. Holmlia Station
    Holmlia Station is a railway station in Oslo, Norway, serving the residential district of Holmlia and the surrounding Søndre Nordstrand area.
  • C. Hamar Station
    Hamar Station is a railway station in the town of Hamar in Innlandet county, Norway, serving as a regional transport hub on the country’s rail network.
  • D. Tolga Station
    Tolga Station is a railway station serving the town of Tolga, providing passenger rail connections to the surrounding region.
  • E. Mo i Rana Station
    Mo i Rana Station is a railway station in the town of Mo i Rana in Nordland county, Norway, serving as a stop on the Nordland Line between Trondheim and Bodø.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c63870c81909a08a3b410c0d417 completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.