Triple

T15878504
Position Surface form Disambiguated ID Type / Status
Subject Gloppen E385011 entity
Predicate hasDemonym P191 FINISHED
Object gloppar
A gloppar is a resident or native of Gloppen, a municipality in Vestland county, Norway.
 E1181873 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: gloppar | Statement: [Gloppen, hasDemonym, gloppar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: gloppar
Context triple: [Gloppen, hasDemonym, gloppar]
  • A. glo
    glo is a heated tobacco product brand developed by British American Tobacco as an alternative to traditional cigarettes.
  • B. GOLLOG
    GOLLOG is the cargo and logistics division of Brazilian airline GOL Linhas Aéreas Inteligentes, providing air and ground freight services.
  • C. ghopuz
    Ghopuz is a traditional Turkmen musical instrument, typically a type of jaw harp used in folk music and cultural performances.
  • D. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • E. GRO
    GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
  • 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: gloppar
Triple: [Gloppen, hasDemonym, gloppar]
Generated description
A gloppar is a resident or native of Gloppen, a municipality in Vestland county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: gloppar
Target entity description: A gloppar is a resident or native of Gloppen, a municipality in Vestland county, Norway.
  • A. glo
    glo is a heated tobacco product brand developed by British American Tobacco as an alternative to traditional cigarettes.
  • B. GOLLOG
    GOLLOG is the cargo and logistics division of Brazilian airline GOL Linhas Aéreas Inteligentes, providing air and ground freight services.
  • C. ghopuz
    Ghopuz is a traditional Turkmen musical instrument, typically a type of jaw harp used in folk music and cultural performances.
  • D. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • E. GRO
    GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155ff96588190b8fca1c3bf4a39a2 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9529ac48190993d1af234faea3b completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffa9e9b17c8190b98d930fd5cb0723 completed May 9, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_69ffaa973274819080889e1b9883b8dc completed May 9, 2026, 9:43 p.m.
Created at: April 10, 2026, 4:51 a.m.