Triple

T4446394
Position Surface form Disambiguated ID Type / Status
Subject Glomma E96298 entity
Predicate formsLake P43869 FINISHED
Object Øyeren E439035 NE FINISHED

How this triple was built (3 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: Øyeren | Statement: [Glomma, formsLake, Øyeren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Øyeren
Context triple: [Glomma, formsLake, Øyeren]
  • A. Øyeren chosen
    Øyeren is a large lake in southeastern Norway, known for its rich birdlife and role as a major reservoir along the Glomma river system.
  • B. Øye
    Øye is a small Norwegian village in the Sunnmøre region, known for its dramatic fjord landscape and the historic Hotel Union Øye.
  • C. Onsøy
    Onsøy is a former municipality and coastal district that now forms part of the city and municipality of Fredrikstad in Viken county, Norway.
  • D. Dyrøya
    Dyrøya is an island located in the Troms region of northern Norway, known for its rugged coastal landscape and small rural communities.
  • E. Sørøya
    Sørøya is a large, sparsely populated island in northern Norway known for its rugged coastal landscapes, rich fishing grounds, and opportunities for outdoor activities such as hiking and sea angling.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formsLake
Context triple: [Glomma, formsLake, Øyeren]
  • A. formsWetland
    Indicates that one entity creates, develops, or gives rise to a wetland environment in relation to another entity or location.
  • B. formsEstuary
    Indicates that a river or watercourse meets a larger body of water in such a way that it creates or constitutes an estuary.
  • C. formsFeature
    Indicates that one entity constitutes or creates a characteristic, component, or distinguishing element of another entity.
  • D. feedsLake chosen
    Indicates that one water source or waterway supplies or flows into a lake.
  • E. usesLakeFor
    Indicates that an entity utilizes a lake as a resource or setting for some purpose, activity, or function.
  • F. None of above.

Provenance (4 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d1eba08190899d0a3c1684ce4e completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62818295481909c0ffa377570effc completed March 15, 2026, 3:31 a.m.
PD Predicate disambiguation batch_69b34f62c180819097ced38da2052207 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:32 p.m.