Triple

T3556507
Position Surface form Disambiguated ID Type / Status
Subject Haugesund E75231 entity
Predicate hasDemonym P191 FINISHED
Object Haugesunder
A Haugesunder is a resident or native of the coastal city of Haugesund in western Norway.
 E366555 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: Haugesunder | Statement: [Haugesund, hasDemonym, Haugesunder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haugesunder
Context triple: [Haugesund, hasDemonym, Haugesunder]
  • A. Brundall
    Brundall is a village in Norfolk, England, known for its riverside location in the Norfolk Broads and its boating and leisure activities.
  • B. Laleham
    Laleham is a riverside village in Surrey, England, situated on the River Thames and known for its historic church, green spaces, and residential character.
  • C. Shudehill
    Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
  • D. Hodenhagen
    Hodenhagen is a small municipality in Lower Saxony, Germany, known for its rural setting along the Aller River and proximity to attractions like the Serengeti Park safari zoo.
  • E. Wrey
    Wrey is a variant spelling of the surname Wray, which is of English origin.
  • 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: Haugesunder
Triple: [Haugesund, hasDemonym, Haugesunder]
Generated description
A Haugesunder is a resident or native of the coastal city of Haugesund in western Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haugesunder
Target entity description: A Haugesunder is a resident or native of the coastal city of Haugesund in western Norway.
  • A. Brundall
    Brundall is a village in Norfolk, England, known for its riverside location in the Norfolk Broads and its boating and leisure activities.
  • B. Laleham
    Laleham is a riverside village in Surrey, England, situated on the River Thames and known for its historic church, green spaces, and residential character.
  • C. Shudehill
    Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
  • D. Hodenhagen
    Hodenhagen is a small municipality in Lower Saxony, Germany, known for its rural setting along the Aller River and proximity to attractions like the Serengeti Park safari zoo.
  • E. Wrey
    Wrey is a variant spelling of the surname Wray, which is of English origin.
  • 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_69b38bf40dac8190837053dd315303af completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c6e70a88190805de417a8740d64 completed March 13, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69b38cd2c540819083d3188c2dea7283 completed March 13, 2026, 4:04 a.m.
Created at: March 8, 2026, 3:20 p.m.