Triple

T22105636
Position Surface form Disambiguated ID Type / Status
Subject Adventfjorden E546277 entity
Predicate hasNearbyRiver P8567 FINISHED
Object Adventelva NE NERFINISHED

How this triple was built (2 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: [Adventfjorden, hasNearbyRiver, Adventelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adventelva
Context triple: [Adventfjorden, hasNearbyRiver, Adventelva]
  • A. Adventelva chosen
    Adventelva is a river in Svalbard that flows through the Adventdalen valley toward Adventfjorden near Longyearbyen.
  • B. Vanylven
    Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • C. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • D. Loelva
    Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12918d7a4819080283c287a253c9f completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.