Triple

T3556534
Position Surface form Disambiguated ID Type / Status
Subject Nordfjord E75232 entity
Predicate hasMajorTown P316 FINISHED
Object Måløy
Måløy is a coastal town in western Norway known as a key fishing port and regional commercial center.
 E391557 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: Måløy | Statement: [Nordfjord, hasMajorTown, Måløy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Måløy
Context triple: [Nordfjord, hasMajorTown, Måløy]
  • A. Rennesøy
    Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
  • B. Røst
    Røst is a small, remote island and fishing community in northern Norway, known for its dramatic coastal scenery, rich seabird colonies, and traditional cod fisheries.
  • C. Nøtterøy
    Nøtterøy is a large, populated island and former municipality in Vestfold, Norway, situated in the Oslofjord and known for its coastal landscapes and residential communities.
  • D. Karmøy
    Karmøy is a large island and municipality in Rogaland county, Norway, known for its coastal fishing communities, maritime heritage, and historic Viking sites.
  • E. Ormøya
    Ormøya is a small, scenic island and residential area in the inner Oslofjord, just southeast of central Oslo, Norway.
  • 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: Måløy
Triple: [Nordfjord, hasMajorTown, Måløy]
Generated description
Måløy is a coastal town in western Norway known as a key fishing port and regional commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Måløy
Target entity description: Måløy is a coastal town in western Norway known as a key fishing port and regional commercial center.
  • A. Rennesøy
    Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
  • B. Røst
    Røst is a small, remote island and fishing community in northern Norway, known for its dramatic coastal scenery, rich seabird colonies, and traditional cod fisheries.
  • C. Nøtterøy
    Nøtterøy is a large, populated island and former municipality in Vestfold, Norway, situated in the Oslofjord and known for its coastal landscapes and residential communities.
  • D. Karmøy
    Karmøy is a large island and municipality in Rogaland county, Norway, known for its coastal fishing communities, maritime heritage, and historic Viking sites.
  • E. Ormøya
    Ormøya is a small, scenic island and residential area in the inner Oslofjord, just southeast of central Oslo, Norway.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc057cc788190a6c4f3781f43abce completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4faf333d4819094293a326196fe50 completed March 14, 2026, 6:06 a.m.
NEDg Description generation batch_69b4fc7abfb481908f563e17e6e57a4e completed March 14, 2026, 6:13 a.m.
NED2 Entity disambiguation (via description) batch_69b4fce0a6a88190be19941a70caebdc completed March 14, 2026, 6:14 a.m.
Created at: March 8, 2026, 3:20 p.m.