Triple

T6013436
Position Surface form Disambiguated ID Type / Status
Subject Gauldalen E133888 entity
Predicate majorSettlement P316 FINISHED
Object Melhus
Melhus is a Norwegian town and municipality in Trøndelag county, situated in the Gauldalen valley just south of Trondheim.
E562643 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: Melhus | Statement: [Gauldalen, majorSettlement, Melhus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melhus
Context triple: [Gauldalen, majorSettlement, Melhus]
  • A. Meldal
    Meldal was a former municipality in Trøndelag county, Norway, known for its rural communities and historical mining activities before being merged into Orkland.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • D. Eidsberg
    Eidsberg is a former municipality and rural town area in southeastern Norway, historically part of Østfold county and known for its agricultural landscape and cultural heritage.
  • E. Sandvika
    Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
  • 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: Melhus
Triple: [Gauldalen, majorSettlement, Melhus]
Generated description
Melhus is a Norwegian town and municipality in Trøndelag county, situated in the Gauldalen valley just south of Trondheim.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Melhus
Target entity description: Melhus is a Norwegian town and municipality in Trøndelag county, situated in the Gauldalen valley just south of Trondheim.
  • A. Meldal
    Meldal was a former municipality in Trøndelag county, Norway, known for its rural communities and historical mining activities before being merged into Orkland.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • D. Eidsberg
    Eidsberg is a former municipality and rural town area in southeastern Norway, historically part of Østfold county and known for its agricultural landscape and cultural heritage.
  • E. Sandvika
    Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f528acc8190bc6943d812460b57 completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108a7afe88190adeb690f40b2e1e9 completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c10b5816548190b73f19e12cdf8e03 completed March 23, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_69c10c39fb848190a557278d3cd23560 completed March 23, 2026, 9:47 a.m.
Created at: March 22, 2026, 4:06 p.m.