Triple

T13418028
Position Surface form Disambiguated ID Type / Status
Subject Austvågøy E313264 entity
Predicate hasVillage P4011 FINISHED
Object Kleppstad
Kleppstad is a small coastal village in northern Norway, situated on the island of Austvågøy in the Lofoten archipelago.
E1050351 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: Kleppstad | Statement: [Austvågøy, hasVillage, Kleppstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kleppstad
Context triple: [Austvågøy, hasVillage, Kleppstad]
  • A. Klepp
    Klepp is a coastal agricultural municipality located on the Jæren plain in Rogaland county in southwestern Norway.
  • B. Haugesund
    Haugesund is a coastal city in southwestern Norway known for its maritime heritage, shipbuilding industry, and annual film and jazz festivals.
  • C. Kragerø
    Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
  • D. Røyrvik
    Røyrvik is a small rural municipality in Trøndelag county, Norway, known for its mountainous landscapes, reindeer herding traditions, and proximity to Børgefjell National Park.
  • E. Steinkjer
    Steinkjer is a town and municipality in central Norway that serves as an important regional center and administrative hub in Trøndelag county.
  • 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: Kleppstad
Triple: [Austvågøy, hasVillage, Kleppstad]
Generated description
Kleppstad is a small coastal village in northern Norway, situated on the island of Austvågøy in the Lofoten archipelago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kleppstad
Target entity description: Kleppstad is a small coastal village in northern Norway, situated on the island of Austvågøy in the Lofoten archipelago.
  • A. Klepp
    Klepp is a coastal agricultural municipality located on the Jæren plain in Rogaland county in southwestern Norway.
  • B. Haugesund
    Haugesund is a coastal city in southwestern Norway known for its maritime heritage, shipbuilding industry, and annual film and jazz festivals.
  • C. Kragerø
    Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
  • D. Røyrvik
    Røyrvik is a small rural municipality in Trøndelag county, Norway, known for its mountainous landscapes, reindeer herding traditions, and proximity to Børgefjell National Park.
  • E. Steinkjer
    Steinkjer is a town and municipality in central Norway that serves as an important regional center and administrative hub in Trøndelag county.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb8416c8190a00dde0917c26f51 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f7c04948190a0c8ce01996e3982 completed May 3, 2026, 5:01 p.m.
NEDg Description generation batch_69f7802f49c48190b9dbaaf181f2b367 completed May 3, 2026, 5:04 p.m.
NED2 Entity disambiguation (via description) batch_69f78089050c81909943164d1a41a37f completed May 3, 2026, 5:06 p.m.
Created at: April 9, 2026, 9:39 p.m.