Triple

T18627512
Position Surface form Disambiguated ID Type / Status
Subject Innherad E455320 entity
Predicate hasRiver P165 FINISHED
Object Byaelva
Byaelva is a river located in the Innherad district of Trøndelag county in central Norway.
E1336823 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: Byaelva | Statement: [Innherad, hasRiver, Byaelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byaelva
Context triple: [Innherad, hasRiver, Byaelva]
  • A. Renaelva
    Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
  • B. Loelva
    Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
  • C. Barduelva
    Barduelva is a river in northern Norway flowing through Troms og Finnmark county, including the town of Setermoen.
  • D. Wyulda
    Wyulda is a genus of Australian marsupials commonly known as scaly-tailed possums, characterized by their prehensile tails and arboreal lifestyle.
  • E. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • 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: Byaelva
Triple: [Innherad, hasRiver, Byaelva]
Generated description
Byaelva is a river located in the Innherad district of Trøndelag county in central Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Byaelva
Target entity description: Byaelva is a river located in the Innherad district of Trøndelag county in central Norway.
  • A. Renaelva
    Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
  • B. Loelva
    Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
  • C. Barduelva
    Barduelva is a river in northern Norway flowing through Troms og Finnmark county, including the town of Setermoen.
  • D. Wyulda
    Wyulda is a genus of Australian marsupials commonly known as scaly-tailed possums, characterized by their prehensile tails and arboreal lifestyle.
  • E. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f0581f0819083c1aba9fb85f6a7 completed April 19, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05171362ac81908fbe4e3ce9c87ea6 completed May 14, 2026, 12:28 a.m.
NEDg Description generation batch_6a051aef4004819093bc116c5f318c35 completed May 14, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0520e639c88190883afb5527073f18 completed May 14, 2026, 1:09 a.m.
Created at: April 10, 2026, 11:46 a.m.