Triple

T15359999
Position Surface form Disambiguated ID Type / Status
Subject Sunnmøre E367264 entity
Predicate hasTown P847 FINISHED
Object Vanylven E495241 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: Vanylven | Statement: [Sunnmøre, hasTown, Vanylven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanylven
Context triple: [Sunnmøre, hasTown, Vanylven]
  • A. Vanylven chosen
    Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • B. Loelva
    Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
  • C. Tyvholm
    Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
  • D. Varsseveld
    Varsseveld is a village in the Dutch province of Gelderland, known as the birthplace of renowned football coach Guus Hiddink.
  • E. Vangteh
    Vangteh is a dialect of the Tedim Chin language spoken by a subgroup of the Chin people in Myanmar.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4607408190ab281a7f7a8012d3 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1343862481908962dfe0ab946b97 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:18 a.m.