Triple

T22474022
Position Surface form Disambiguated ID Type / Status
Subject Fredrikshald E555578 entity
Predicate hasPort P35 FINISHED
Object Halden port 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: Halden port | Statement: [Fredrikshald, hasPort, Halden port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halden port
Context triple: [Fredrikshald, hasPort, Halden port]
  • A. Port of Halden chosen
    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. Port of Arendal
    The Port of Arendal is a coastal harbor and maritime hub serving the town of Arendal and the surrounding region in southern Norway.
  • C. Port of Porsgrunn
    The Port of Porsgrunn is a Norwegian commercial harbor and logistics hub serving the industrial town of Porsgrunn and the surrounding Grenland region.
  • D. Sandefjord Harbour
    Sandefjord Harbour is a coastal port area in Sandefjord, Norway, known for its maritime activities, ferry connections, and role as a local commercial and recreational waterfront.
  • E. Verdal industrial port
    Verdal industrial port is a commercial harbor facility in Verdal, Norway, serving as a key hub for regional industry, cargo handling, and maritime logistics.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be2d5388190a59d11b3403d998b completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:49 p.m.