Triple

T15302046
Position Surface form Disambiguated ID Type / Status
Subject Stavanger harbor E365812 entity
Predicate partOf P40 FINISHED
Object Port of Stavanger E751890 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: Port of Stavanger | Statement: [Stavanger harbor, partOf, Port of Stavanger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Stavanger
Context triple: [Stavanger harbor, partOf, Port of Stavanger]
  • A. Port of Stavanger chosen
    The Port of Stavanger is a major Norwegian maritime hub on the southwest coast, serving as a key center for offshore oil and gas activities, cruise traffic, and regional trade in the North Sea.
  • B. Port of Haugesund
    The Port of Haugesund is a key maritime hub on Norway’s west coast, serving regional shipping, offshore industry, and passenger traffic in the North Sea.
  • C. 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.
  • D. Port of Kristiansand
    The Port of Kristiansand is a major Norwegian seaport and transport hub on the southern coast, serving as an important gateway for passenger ferries, cargo traffic, and regional trade.
  • E. Port of Bergen
    The Port of Bergen is one of Norway’s busiest and historically significant seaports, serving as a major hub for maritime trade, passenger traffic, and cruise tourism on the country’s western coast.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccd575c8190aa43262d3b73ef3c completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89bb46481908f27fa98eb6ac5c3 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:15 a.m.