Triple

T5098088
Position Surface form Disambiguated ID Type / Status
Subject Møre og Romsdal E114915 entity
Predicate containsSettlement P847 FINISHED
Object Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
E522159 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: Stordal | Statement: [Møre og Romsdal, containsSettlement, Stordal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stordal
Context triple: [Møre og Romsdal, containsSettlement, Stordal]
  • A. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • B. Storo
    Storo is a neighborhood and transport hub in Oslo, Norway, known for its major shopping center and connections to tram, metro, and bus lines.
  • C. Grebbestad
    Grebbestad is a coastal fishing village and popular tourist destination in Tanum Municipality on Sweden’s west coast, known for its seafood and picturesque archipelago.
  • D. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
  • E. Orkdal
    Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
  • 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: Stordal
Triple: [Møre og Romsdal, containsSettlement, Stordal]
Generated description
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stordal
Target entity description: Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • A. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • B. Storo
    Storo is a neighborhood and transport hub in Oslo, Norway, known for its major shopping center and connections to tram, metro, and bus lines.
  • C. Grebbestad
    Grebbestad is a coastal fishing village and popular tourist destination in Tanum Municipality on Sweden’s west coast, known for its seafood and picturesque archipelago.
  • D. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
  • E. Orkdal
    Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7567d21081909227ed8f08b74c71 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf486d43488190b57e064b0272ece4 completed March 22, 2026, 1:39 a.m.
NEDg Description generation batch_69bf495a97d081909a83c8da3a1ba98e completed March 22, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_69bf49a3058c8190a4b9cc50a077e187 completed March 22, 2026, 1:45 a.m.
Created at: March 20, 2026, 1:40 p.m.