Triple

T2206984
Position Surface form Disambiguated ID Type / Status
Subject Port of Halden E50821 entity
Predicate adjacentTo P224 FINISHED
Object Halden waterfront E9275 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: Halden waterfront | Statement: [Port of Halden, adjacentTo, Halden waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halden waterfront
Context triple: [Port of Halden, adjacentTo, Halden waterfront]
  • A. Port of Halden
    Port of Halden is a Norwegian maritime port serving the town of Halden near the Swedish border, handling regional cargo and ferry traffic along the Oslofjord–Skagerrak corridor.
  • B. Halden chosen
    Halden is a historic border town and municipality in southeastern Norway, known for the Fredriksten fortress and its location near the Swedish border.
  • C. Holtet depot
    Holtet depot is a tram depot in Oslo, Norway, serving as one of the main facilities for housing and maintaining the city's tram fleet.
  • D. Overstrand
    Overstrand is a coastal village in Norfolk, England, known historically as a seaside resort and for its association with prominent Victorian and Edwardian figures.
  • E. Kjelsås
    Kjelsås is a residential neighborhood in northern Oslo, Norway, known for its hilly terrain, proximity to Marka forest, and access to the city via tram and rail connections.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfcbb83081908d5b2f1603c7b4d2 completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae654b89b081908f8c8b9bfc0b6579 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.