Triple

T8002702
Position Surface form Disambiguated ID Type / Status
Subject Bærum E186288 entity
Predicate hasSettlement P1068 FINISHED
Object Hosle
Hosle is a residential area and neighborhood located within the municipality of Bærum in Norway.
 E704208 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: Hosle | Statement: [Bærum, hasSettlement, Hosle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hosle
Context triple: [Bærum, hasSettlement, Hosle]
  • A. Hadda
    Hadda was an important ancient Buddhist monastic and artistic center in the Gandhara region, renowned for its rich collection of Greco-Buddhist sculptures and monasteries.
  • B. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • C. Hassela
    Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
  • D. Haisyn
    Haisyn is a city in central Ukraine known as a local administrative and economic center within Vinnytsia Oblast.
  • E. Lohia
    Lohia is an Indian surname most prominently associated with socialist leader and activist Ram Manohar Lohia.
  • 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: Hosle
Triple: [Bærum, hasSettlement, Hosle]
Generated description
Hosle is a residential area and neighborhood located within the municipality of Bærum in Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hosle
Target entity description: Hosle is a residential area and neighborhood located within the municipality of Bærum in Norway.
  • A. Hadda
    Hadda was an important ancient Buddhist monastic and artistic center in the Gandhara region, renowned for its rich collection of Greco-Buddhist sculptures and monasteries.
  • B. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • C. Hassela
    Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
  • D. Haisyn
    Haisyn is a city in central Ukraine known as a local administrative and economic center within Vinnytsia Oblast.
  • E. Lohia
    Lohia is an Indian surname most prominently associated with socialist leader and activist Ram Manohar Lohia.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf2918081909ee0afab11caed63 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe121b0ac81908b9da58cf14c8df5 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe441b76881909efa791b74316088 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc34749ae08190a1d30919a0594bfd completed March 31, 2026, 8:54 p.m.
Created at: March 30, 2026, 5:18 p.m.