Triple

T22682878
Position Surface form Disambiguated ID Type / Status
Subject Veitvet E560827 entity
Predicate hasLandmark P105 FINISHED
Object Veitvet skole 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: Veitvet skole | Statement: [Veitvet, hasLandmark, Veitvet skole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veitvet skole
Context triple: [Veitvet, hasLandmark, Veitvet skole]
  • A. Lavangen school
    Lavangen school is a local educational institution serving primary and/or lower secondary students in the village of Tennevoll in Lavangen Municipality, Norway.
  • B. Morellbakken School chosen
    Morellbakken School is an educational institution located in the Nordre Aker borough of Oslo, Norway.
  • C. Vanløse School
    Vanløse School is a primary and lower secondary school located in the Vanløse district of Copenhagen, Denmark.
  • D. Gjerdrum secondary school
    Gjerdrum secondary school is a lower secondary educational institution serving students in the municipality of Gjerdrum, Norway.
  • E. Stord Upper Secondary School
    Stord Upper Secondary School is a Norwegian upper secondary education institution located in the town of Leirvik on the island of Stord.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786204d88190a837a5f04e16e94c completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:12 p.m.