Triple

T15528769
Position Surface form Disambiguated ID Type / Status
Subject Molde–Vestnes ferry E370153 entity
Predicate terminus P388 FINISHED
Object Vestnes E495240 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: Vestnes | Statement: [Molde–Vestnes ferry, terminus, Vestnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vestnes
Context triple: [Molde–Vestnes ferry, terminus, Vestnes]
  • A. Vestnes chosen
    Vestnes is a municipality and village in western Norway known for its coastal location along the Romsdalsfjord and its role as a local administrative and service center.
  • B. Tveit
    Tveit is a Norwegian surname most notably borne by American actor and singer Aaron Tveit, known for his work in musical theatre, film, and television.
  • C. Vestre
    Vestre is a Norwegian surname most notably associated with Jan Christian Vestre, a prominent Norwegian politician and businessman.
  • D. Gressvik
    Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
  • E. Trondenes
    Trondenes is a historic former municipality and parish in northern Norway, known for its medieval stone church and role as an administrative center in the Harstad region.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff45549e4881908ab0769e49ba5dc4 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:05 a.m.