Triple

T21519605
Position Surface form Disambiguated ID Type / Status
Subject Adventdalen E530937 entity
Predicate hasHydrologicalFeature P1094 FINISHED
Object Adventelva
Adventelva is a river in Svalbard that flows through the Adventdalen valley toward Adventfjorden near Longyearbyen.
E1488666 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: Adventelva | Statement: [Adventdalen, hasHydrologicalFeature, Adventelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adventelva
Context triple: [Adventdalen, hasHydrologicalFeature, Adventelva]
  • A. Vanylven
    Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • B. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • C. Loelva
    Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
  • D. Vanvikan
    Vanvikan is a small village in Trøndelag county, Norway, situated along the Trondheimsfjord and known for its ferry connection to the city of Trondheim.
  • E. Valderice
    Valderice is a small town and comune in western Sicily, Italy, known for its scenic hillside setting near the historic city of Erice and views over the Gulf of Trapani.
  • 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: Adventelva
Triple: [Adventdalen, hasHydrologicalFeature, Adventelva]
Generated description
Adventelva is a river in Svalbard that flows through the Adventdalen valley toward Adventfjorden near Longyearbyen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Adventelva
Target entity description: Adventelva is a river in Svalbard that flows through the Adventdalen valley toward Adventfjorden near Longyearbyen.
  • A. Vanylven
    Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • B. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • C. Loelva
    Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
  • D. Vanvikan
    Vanvikan is a small village in Trøndelag county, Norway, situated along the Trondheimsfjord and known for its ferry connection to the city of Trondheim.
  • E. Valderice
    Valderice is a small town and comune in western Sicily, Italy, known for its scenic hillside setting near the historic city of Erice and views over the Gulf of Trapani.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee884af0f08190bc1f3d70e57a325d completed April 26, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e82521248190b6b84a3074d70be1 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e92969c881908b865da9d78cc48e completed May 17, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_6a09e9ad9da08190b222b06c41734994 completed May 17, 2026, 4:15 p.m.
Created at: April 16, 2026, 6:26 p.m.