Triple

T15014330
Position Surface form Disambiguated ID Type / Status
Subject Molde Municipality E377918 entity
Predicate contains P35 FINISHED
Object Hjelset
Hjelset is a village in Møre og Romsdal county, Norway, situated within Molde Municipality along the Romsdalsfjorden.
E1133423 NE FINISHED

How this triple was built (4 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: Hjelset | Statement: [Molde Municipality, contains, Hjelset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hjelset
Context triple: [Molde Municipality, contains, Hjelset]
  • A. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
  • B. Dølen
    Dølen was a 19th-century Norwegian weekly periodical, written in Landsmål by Aasmund Olavsson Vinje, that combined literary works with social and political commentary.
  • C. Hegge
    Hegge is a small village in the municipality of Øystre Slidre in Innlandet county, Norway, known for its traditional rural setting and historic stave church.
  • D. Heggenes
    Heggenes is a small village in Innlandet county, Norway, serving as the local hub for services and administration in the Øystre Slidre area.
  • E. Gjemnes
    Gjemnes is a rural municipality in western Norway known for its fjord landscapes and location between the towns of Molde and Kristiansund.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hjelset
Triple: [Molde Municipality, contains, Hjelset]
Generated description
Hjelset is a village in Møre og Romsdal county, Norway, situated within Molde Municipality along the Romsdalsfjorden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hjelset
Target entity description: Hjelset is a village in Møre og Romsdal county, Norway, situated within Molde Municipality along the Romsdalsfjorden.
  • A. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
  • B. Dølen
    Dølen was a 19th-century Norwegian weekly periodical, written in Landsmål by Aasmund Olavsson Vinje, that combined literary works with social and political commentary.
  • C. Hegge
    Hegge is a small village in the municipality of Øystre Slidre in Innlandet county, Norway, known for its traditional rural setting and historic stave church.
  • D. Heggenes
    Heggenes is a small village in Innlandet county, Norway, serving as the local hub for services and administration in the Øystre Slidre area.
  • E. Gjemnes
    Gjemnes is a rural municipality in western Norway known for its fjord landscapes and location between the towns of Molde and Kristiansund.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69fe9f58e39081909be07cda05484fb3 completed May 9, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_69fe9ff62eb081908e170e099c99283b completed May 9, 2026, 2:46 a.m.
Created at: April 10, 2026, 2:55 a.m.