Triple

T2965472
Position Surface form Disambiguated ID Type / Status
Subject Vesterålen E80150 entity
Predicate hasMunicipality P847 FINISHED
Object Sortland
Sortland is a coastal town and municipality in northern Norway, known as the “blue city” for its characteristically blue-painted buildings and its role as a regional commercial center in the Vesterålen archipelago.
 E315256 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: Sortland | Statement: [Vesterålen, hasMunicipality, Sortland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sortland
Context triple: [Vesterålen, hasMunicipality, Sortland]
  • A. Grimstad
    Grimstad is a coastal town and municipality in southern Norway known for its maritime heritage, charming wooden houses, and role as a summer tourist destination.
  • B. Bojnord
    Bojnord is a city in northeastern Iran that serves as the capital of North Khorasan Province.
  • C. Solvang
    Solvang is a Danish-themed tourist town in California known for its Scandinavian architecture, bakeries, and wineries.
  • D. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • E. Kristinestad
    Kristinestad is a small coastal town in western Finland known for its well-preserved wooden old town and historic maritime character.
  • 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: Sortland
Triple: [Vesterålen, hasMunicipality, Sortland]
Generated description
Sortland is a coastal town and municipality in northern Norway, known as the “blue city” for its characteristically blue-painted buildings and its role as a regional commercial center in the Vesterålen archipelago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sortland
Target entity description: Sortland is a coastal town and municipality in northern Norway, known as the “blue city” for its characteristically blue-painted buildings and its role as a regional commercial center in the Vesterålen archipelago.
  • A. Grimstad
    Grimstad is a coastal town and municipality in southern Norway known for its maritime heritage, charming wooden houses, and role as a summer tourist destination.
  • B. Bojnord
    Bojnord is a city in northeastern Iran that serves as the capital of North Khorasan Province.
  • C. Solvang
    Solvang is a Danish-themed tourist town in California known for its Scandinavian architecture, bakeries, and wineries.
  • D. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • E. Kristinestad
    Kristinestad is a small coastal town in western Finland known for its well-preserved wooden old town and historic maritime character.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad995a28e88190a4d6b9ef2c0d8e61 completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc9bc190819087cb35ee7c78825a completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd25e07c819088b2b1bcef4cf54e completed March 11, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_69b100ecbee081908832ddec0efdc751 completed March 11, 2026, 5:43 a.m.
Created at: March 8, 2026, 2:58 p.m.