Triple

T3145411
Position Surface form Disambiguated ID Type / Status
Subject Mjøsa E65750 entity
Predicate southernEndNear P29526 FINISHED
Object Minnesund E333330 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: Minnesund | Statement: [Mjøsa, southernEndNear, Minnesund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minnesund
Context triple: [Mjøsa, southernEndNear, Minnesund]
  • A. Minnesund chosen
    Minnesund is a small village in Eidsvoll Municipality in Norway, situated at the southern end of Lake Mjøsa and known as a key transport junction.
  • B. Sennevika
    Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
  • C. Eemnes
    Eemnes is a small town and municipality in the central Netherlands known for its characteristic polder landscape and historic village centers.
  • D. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • E. Hadsel
    Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
  • 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: southernEndNear
Context triple: [Mjøsa, southernEndNear, Minnesund]
  • A. southernApproachNear
    Indicates that one entity is located near the southern approach or access route of another entity.
  • B. terminusSouthNear chosen
    Indicates that the southern end or terminus of one entity is located close to another entity.
  • C. hasSouthernTerminus
    Indicates that one entity serves as the southern endpoint or terminus of another entity, such as a route, line, or path.
  • D. southTerminusType
    Indicates the type or nature of the southern endpoint or terminus of something (such as a route, line, or boundary).
  • E. locatedAtNorthernEndOf
    Indicates that one entity is situated at or near the northernmost part or extremity of another entity.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59797788190a8d71262888c5df0 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b42fd948190bc9bcf44692c84ca completed March 12, 2026, 5:12 a.m.
PD Predicate disambiguation batch_69ad9dfa3d9081908425aa636bb9b897 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:05 p.m.