Triple

T13798027
Position Surface form Disambiguated ID Type / Status
Subject Hamar, Norway E331565 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Ringsaker E342716 NE FINISHED

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: Ringsaker | Statement: [Hamar, Norway, hasNeighbouringMunicipality, Ringsaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ringsaker
Context triple: [Hamar, Norway, hasNeighbouringMunicipality, Ringsaker]
  • A. Ringsaker chosen
    Ringsaker is a municipality in Innlandet county, Norway, known for its agricultural landscapes along Lake Mjøsa and its proximity to the town of Hamar.
  • B. Retinger
    Retinger is the surname of Józef Retinger, a Polish political adviser and key organizer of early European integration efforts.
  • C. Ring
    Ring is a smart home security and video doorbell company known for its connected cameras and home monitoring services.
  • D. Ring
    Ring is a coastal Gaeltacht village in County Waterford, Ireland, known for its strong Irish-language community and cultural traditions.
  • E. Ring
    Ring is a Clojure web applications library and standard interface that underpins much of the Clojure web ecosystem by defining a simple, functional abstraction for HTTP requests and responses.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025be1f08190aac525d72d7dc0c3 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b086d6d48190b823ed0a4403fbc5 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:11 p.m.