Triple

T15302586
Position Surface form Disambiguated ID Type / Status
Subject Kvinnherad E365824 entity
Predicate hasPart P35 FINISHED
Object Uskedalen
Uskedalen is a village in Vestland county, Norway, situated in a valley by the Hardangerfjorden and known for its scenic fjord landscape and outdoor recreation.
E1147730 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: Uskedalen | Statement: [Kvinnherad, hasPart, Uskedalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uskedalen
Context triple: [Kvinnherad, hasPart, Uskedalen]
  • A. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • B. Orkdal
    Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
  • C. Svarstad
    Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
  • D. Lunde
    Lunde is a variant form of the Scandinavian place and surname "Lund," commonly found in Norway and Denmark.
  • E. Lunde
    Lunde is a small village located within Sirdal municipality in Agder county, southern Norway.
  • 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: Uskedalen
Triple: [Kvinnherad, hasPart, Uskedalen]
Generated description
Uskedalen is a village in Vestland county, Norway, situated in a valley by the Hardangerfjorden and known for its scenic fjord landscape and outdoor recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Uskedalen
Target entity description: Uskedalen is a village in Vestland county, Norway, situated in a valley by the Hardangerfjorden and known for its scenic fjord landscape and outdoor recreation.
  • A. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • B. Orkdal
    Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
  • C. Svarstad
    Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
  • D. Lunde
    Lunde is a variant form of the Scandinavian place and surname "Lund," commonly found in Norway and Denmark.
  • E. Lunde
    Lunde is a small village located within Sirdal municipality in Agder county, southern Norway.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccd575c8190aa43262d3b73ef3c completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef86b8cc81909969098b1766f6b7 completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69feeff83f3c8190b9ae0f7ce724b3e2 completed May 9, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_69fef0825e7c8190bb74e2e3de202883 completed May 9, 2026, 8:29 a.m.
Created at: April 10, 2026, 3:15 a.m.