Triple

T17732166
Position Surface form Disambiguated ID Type / Status
Subject Overhalla E442612 entity
Predicate hasSettlement P1068 FINISHED
Object Skage
Skage is a small village in the municipality of Overhalla in Trøndelag county, Norway.
E1285046 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: Skage | Statement: [Overhalla, hasSettlement, Skage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skage
Context triple: [Overhalla, hasSettlement, Skage]
  • A. Skreia
    Skreia is a village in Østre Toten Municipality in Innlandet county, Norway, known for its rural setting near Lake Mjøsa.
  • B. Rognon
    Rognon is a river in northeastern France that flows through the Haute-Marne department and serves as a tributary within the Marne river basin.
  • C. Skáli
    Skáli is a small village on the island of Eysturoy in the Faroe Islands, known for its coastal setting and traditional Faroese character.
  • D. Stetind
    Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
  • E. Skaaren
    Skaaren is a surname most notably associated with Warren Skaaren, an American screenwriter and film producer.
  • 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: Skage
Triple: [Overhalla, hasSettlement, Skage]
Generated description
Skage is a small village in the municipality of Overhalla in Trøndelag county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Skage
Target entity description: Skage is a small village in the municipality of Overhalla in Trøndelag county, Norway.
  • A. Skreia
    Skreia is a village in Østre Toten Municipality in Innlandet county, Norway, known for its rural setting near Lake Mjøsa.
  • B. Rognon
    Rognon is a river in northeastern France that flows through the Haute-Marne department and serves as a tributary within the Marne river basin.
  • C. Skáli
    Skáli is a small village on the island of Eysturoy in the Faroe Islands, known for its coastal setting and traditional Faroese character.
  • D. Stetind
    Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
  • E. Skaaren
    Skaaren is a surname most notably associated with Warren Skaaren, an American screenwriter and film producer.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e7773081909dadb90ff5cb0906 completed April 19, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0242f577ac8190bc6c258ed79c0f3f completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a024432dae081908718b4d9fa156858 completed May 11, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0244ad73388190b5b99ccbbd357d77 completed May 11, 2026, 9:05 p.m.
Created at: April 10, 2026, 10:08 a.m.