Triple

T15014333
Position Surface form Disambiguated ID Type / Status
Subject Molde Municipality E377918 entity
Predicate contains P35 FINISHED
Object Midsund E503304 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: Midsund | Statement: [Molde Municipality, contains, Midsund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midsund
Context triple: [Molde Municipality, contains, Midsund]
  • A. Midsund chosen
    Midsund is a former island municipality and village area in Western Norway known for its coastal scenery and hiking trails in the Romsdal region.
  • B. Møsstrond
    Møsstrond is a small rural settlement in the mountainous municipality of Vinje in Telemark, Norway, known for its lakes, forests, and traditional Norwegian countryside.
  • C. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • D. Heidal
    Heidal is a village in Innlandet county, Norway, known for its traditional wooden architecture and scenic location in the Gudbrandsdalen valley.
  • E. Mosvik
    Mosvik was a former municipality in Trøndelag county, Norway, known for its rural landscape and coastal location along the Trondheimsfjord.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7623c3c819092ca36b358b01842 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dce8240819097efddb43b79ad4b completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:55 a.m.