Triple

T14975801
Position Surface form Disambiguated ID Type / Status
Subject Kirkelandet E373442 entity
Predicate hasPort P35 FINISHED
Object Kristiansund harbour E381153 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: Kristiansund harbour | Statement: [Kirkelandet, hasPort, Kristiansund harbour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristiansund harbour
Context triple: [Kirkelandet, hasPort, Kristiansund harbour]
  • A. Kristiansund harbor chosen
    Kristiansund harbor is a coastal port in the town of Kristiansund, Norway, known for its sheltered natural setting and role in regional fishing, shipping, and maritime transport.
  • B. Egersund harbor
    Egersund harbor is a coastal port area in the town of Egersund in southwestern Norway, known for its maritime activities and fishing industry.
  • C. Melbu harbor
    Melbu harbor is a coastal port and ferry terminal village in Hadsel Municipality in Nordland county, Norway, serving as a local hub for maritime transport and fishing.
  • D. Skien harbor
    Skien harbor is the port area serving the city of Skien in Norway, functioning as a local hub for maritime transport and commerce.
  • E. 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.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e8733081908e06b53746eb6eb6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8beac05c8190bf19ec8bd1eab2d8 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:51 a.m.