Triple

T18152051
Position Surface form Disambiguated ID Type / Status
Subject Crown Prince Christian of Denmark E434526 entity
Predicate education P5 FINISHED
Object Tranegård School 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: Tranegård School | Statement: [Crown Prince Christian of Denmark, education, Tranegård School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tranegård School
Context triple: [Crown Prince Christian of Denmark, education, Tranegård School]
  • A. Tåsen School
    Tåsen School is a primary and lower secondary school located in the Nordre Aker borough of Oslo, Norway.
  • B. Vanløse School chosen
    Vanløse School is a primary and lower secondary school located in the Vanløse district of Copenhagen, Denmark.
  • C. Morellbakken School
    Morellbakken School is an educational institution located in the Nordre Aker borough of Oslo, Norway.
  • D. 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.
  • E. Hellerup Skole
    Hellerup Skole is a modern, innovative public school in the Hellerup district of Gentofte, Denmark, known for its open-plan architecture and progressive educational approach.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de38d4e08190bc4d430b70b7e288 completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.