Triple

T3701734
Position Surface form Disambiguated ID Type / Status
Subject Nordland E80792 entity
Predicate hasMunicipality P847 FINISHED
Object Alstahaug
Alstahaug is a coastal municipality in northern Norway known for its historic church, island landscapes, and maritime heritage.
E429059 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: Alstahaug | Statement: [Nordland, hasMunicipality, Alstahaug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alstahaug
Context triple: [Nordland, hasMunicipality, Alstahaug]
  • A. Avaldsnes
    Avaldsnes is a historic village in Rogaland county, Norway, known as one of the country’s oldest royal seats and a key center in Viking-era history.
  • B. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • C. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • D. Lofthus
    Lofthus is a village in Norway’s Hardanger region, known for its fruit orchards, fjord scenery, and role as a gateway to hiking routes like the Hardangervidda plateau.
  • E. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • 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: Alstahaug
Triple: [Nordland, hasMunicipality, Alstahaug]
Generated description
Alstahaug is a coastal municipality in northern Norway known for its historic church, island landscapes, and maritime heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alstahaug
Target entity description: Alstahaug is a coastal municipality in northern Norway known for its historic church, island landscapes, and maritime heritage.
  • A. Avaldsnes
    Avaldsnes is a historic village in Rogaland county, Norway, known as one of the country’s oldest royal seats and a key center in Viking-era history.
  • B. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • C. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • D. Lofthus
    Lofthus is a village in Norway’s Hardanger region, known for its fruit orchards, fjord scenery, and role as a gateway to hiking routes like the Hardangervidda plateau.
  • E. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc547c1848190a1ece46c59b7c43d completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c6e3fbbc81908594bb7c9b02f873 completed March 14, 2026, 8:36 p.m.
NEDg Description generation batch_69b5c779d28c81909fdb37adb045684c completed March 14, 2026, 8:39 p.m.
NED2 Entity disambiguation (via description) batch_69b5c7f6195481909167c972e1838cc9 completed March 14, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:33 p.m.