Triple

T7604713
Position Surface form Disambiguated ID Type / Status
Subject Gjesdal E180071 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Sirdal
Sirdal is a mountainous municipality in Agder county, Norway, known for its hydropower production and popular ski resorts.
E676284 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: Sirdal | Statement: [Gjesdal, neighboringMunicipality, Sirdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sirdal
Context triple: [Gjesdal, neighboringMunicipality, Sirdal]
  • A. Suldal
    Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
  • B. Ulsrud
    Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
  • C. Sæbø
    Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western Norway.
  • D. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • E. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • 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: Sirdal
Triple: [Gjesdal, neighboringMunicipality, Sirdal]
Generated description
Sirdal is a mountainous municipality in Agder county, Norway, known for its hydropower production and popular ski resorts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sirdal
Target entity description: Sirdal is a mountainous municipality in Agder county, Norway, known for its hydropower production and popular ski resorts.
  • A. Suldal
    Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
  • B. Ulsrud
    Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
  • C. Sæbø
    Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western Norway.
  • D. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • E. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fbd1408190b721bf016f997c7b completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86853e1fc8190b16cdf779057c804 completed March 28, 2026, 11:46 p.m.
NEDg Description generation batch_69c868fb7fe48190a1b7ab0e824e2984 completed March 28, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_69c8697782d48190a6830f91800d3505 completed March 28, 2026, 11:51 p.m.
Created at: March 27, 2026, 3:54 p.m.