Triple

T13953920
Position Surface form Disambiguated ID Type / Status
Subject Jevnaker municipality E335604 entity
Predicate hasSettlement P1068 FINISHED
Object Olum
Olum is a small settlement located within Jevnaker municipality in Viken county, Norway.
E1071287 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: Olum | Statement: [Jevnaker municipality, hasSettlement, Olum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olum
Context triple: [Jevnaker municipality, hasSettlement, Olum]
  • A. Onumade
    Onumade is a character or component featured within the work "Necessary Evil."
  • B. Aluyi
    Aluyi is the historical name of the Lozi people, a Bantu ethnic group primarily inhabiting western Zambia and known for their centralized kingdom and rich cultural traditions.
  • C. Olor
    Olor is a settlement located within Aniocha South Local Government Area in Delta State, Nigeria.
  • D. Ualamo
    Ualamo is an alternative name for Wolaytta, an Omotic language spoken primarily in southwestern Ethiopia.
  • E. Omoloko
    Omoloko is an Afro-Brazilian religious tradition that blends Yoruba-derived orixá worship with elements of other African, Indigenous, and Catholic spiritual practices.
  • 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: Olum
Triple: [Jevnaker municipality, hasSettlement, Olum]
Generated description
Olum is a small settlement located within Jevnaker municipality in Viken county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Olum
Target entity description: Olum is a small settlement located within Jevnaker municipality in Viken county, Norway.
  • A. Onumade
    Onumade is a character or component featured within the work "Necessary Evil."
  • B. Aluyi
    Aluyi is the historical name of the Lozi people, a Bantu ethnic group primarily inhabiting western Zambia and known for their centralized kingdom and rich cultural traditions.
  • C. Olor
    Olor is a settlement located within Aniocha South Local Government Area in Delta State, Nigeria.
  • D. Ualamo
    Ualamo is an alternative name for Wolaytta, an Omotic language spoken primarily in southwestern Ethiopia.
  • E. Omoloko
    Omoloko is an Afro-Brazilian religious tradition that blends Yoruba-derived orixá worship with elements of other African, Indigenous, and Catholic spiritual practices.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e146720819085d0f5eae558b7a4 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d0735c81909ec0eab090af08a1 completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba5646cb48190acd932f6fbd6fe62 completed May 6, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_69fba6525d0c8190a1ab15881030c11c completed May 6, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:17 p.m.