Triple

T22112260
Position Surface form Disambiguated ID Type / Status
Subject South Westmorland Rural District E546446 entity
Predicate containedSettlement P16159 FINISHED
Object Skelsmergh
Skelsmergh is a small rural village and civil parish in Cumbria, England, situated just north of the market town of Kendal.
E1520432 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: Skelsmergh | Statement: [South Westmorland Rural District, containedSettlement, Skelsmergh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skelsmergh
Context triple: [South Westmorland Rural District, containedSettlement, Skelsmergh]
  • A. Gullaug
    Gullaug is a small settlement in the municipality of Lier in Viken county, Norway, known for its residential character and proximity to the Drammen region.
  • B. Seskarö
    Seskarö is a Swedish island in the northern Baltic Sea known for its forests, beaches, and traditional fishing and forestry communities.
  • C. Skage
    Skage is a small village in the municipality of Overhalla in Trøndelag county, Norway.
  • D. Kluuvi
    Kluuvi is a central district of Helsinki, Finland, known as the city’s main commercial and business hub.
  • E. Sulden
    Sulden is a small alpine village and ski resort in South Tyrol, northern Italy, known for its dramatic high-mountain scenery in the Ortler Alps.
  • 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: Skelsmergh
Triple: [South Westmorland Rural District, containedSettlement, Skelsmergh]
Generated description
Skelsmergh is a small rural village and civil parish in Cumbria, England, situated just north of the market town of Kendal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Skelsmergh
Target entity description: Skelsmergh is a small rural village and civil parish in Cumbria, England, situated just north of the market town of Kendal.
  • A. Gullaug
    Gullaug is a small settlement in the municipality of Lier in Viken county, Norway, known for its residential character and proximity to the Drammen region.
  • B. Seskarö
    Seskarö is a Swedish island in the northern Baltic Sea known for its forests, beaches, and traditional fishing and forestry communities.
  • C. Skage
    Skage is a small village in the municipality of Overhalla in Trøndelag county, Norway.
  • D. Kluuvi
    Kluuvi is a central district of Helsinki, Finland, known as the city’s main commercial and business hub.
  • E. Sulden
    Sulden is a small alpine village and ski resort in South Tyrol, northern Italy, known for its dramatic high-mountain scenery in the Ortler Alps.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294ae7608190901745384a023bab completed April 28, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f19799c81909e736a0f19071297 completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a9345653c8190b4ae4eaed3082997 completed May 18, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0a93bcb82081908e7e6ff841c2cd8c completed May 18, 2026, 4:21 a.m.
Created at: April 16, 2026, 8:31 p.m.