Triple

T10428986
Position Surface form Disambiguated ID Type / Status
Subject Sigdal E245858 entity
Predicate hasLake P1025 FINISHED
Object Soneren
Soneren is a lake located in the municipality of Sigdal in Viken county, Norway, known for its scenic natural surroundings and outdoor recreation opportunities.
E862872 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: Soneren | Statement: [Sigdal, hasLake, Soneren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soneren
Context triple: [Sigdal, hasLake, Soneren]
  • A. Brann
    Brann is a prominent Norwegian football club based in Bergen, known for its passionate fanbase and historic presence in the Eliteserien.
  • B. Paissandu
    Paissandu is a central neighborhood in Recife, Brazil, known for its historic urban character and proximity to key cultural and commercial areas of the city.
  • C. Crues
    Crues is the commonly used nickname for Crusaders Football Club, a professional football team based in Belfast, Northern Ireland.
  • D. Twente
    Twente is a historical and cultural region in the eastern Netherlands known for its rural landscapes, industrial heritage, and cities such as Enschede and Hengelo.
  • E. Roma Wolves
    Roma Wolves is a Canadian soccer club based in St. Catharines, Ontario, competing in regional and national leagues.
  • 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: Soneren
Triple: [Sigdal, hasLake, Soneren]
Generated description
Soneren is a lake located in the municipality of Sigdal in Viken county, Norway, known for its scenic natural surroundings and outdoor recreation opportunities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Soneren
Target entity description: Soneren is a lake located in the municipality of Sigdal in Viken county, Norway, known for its scenic natural surroundings and outdoor recreation opportunities.
  • A. Brann
    Brann is a prominent Norwegian football club based in Bergen, known for its passionate fanbase and historic presence in the Eliteserien.
  • B. Paissandu
    Paissandu is a central neighborhood in Recife, Brazil, known for its historic urban character and proximity to key cultural and commercial areas of the city.
  • C. Crues
    Crues is the commonly used nickname for Crusaders Football Club, a professional football team based in Belfast, Northern Ireland.
  • D. Twente
    Twente is a historical and cultural region in the eastern Netherlands known for its rural landscapes, industrial heritage, and cities such as Enschede and Hengelo.
  • E. Roma Wolves
    Roma Wolves is a Canadian soccer club based in St. Catharines, Ontario, competing in regional and national leagues.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4b4b5881908ae23f8efeea482b completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87ea554888190bf2ef31e33c0ff14 completed April 10, 2026, 4:37 a.m.
NEDg Description generation batch_69d8837e70508190b03e8983b2617eac completed April 10, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69d889cc40648190a1d80b955e676ea5 completed April 10, 2026, 5:25 a.m.
Created at: April 6, 2026, 12:13 p.m.