Triple

T20250436
Position Surface form Disambiguated ID Type / Status
Subject Gvarv E498536 entity
Predicate hasPrimarySchool P3445 FINISHED
Object Gvarv school
Gvarv school is a local primary educational institution serving children in the village of Gvarv, Norway.
E1421227 NE FINISHED

How this triple was built (4 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: Gvarv school | Statement: [Gvarv, hasPrimarySchool, Gvarv school]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gvarv school
Context triple: [Gvarv, hasPrimarySchool, Gvarv school]
  • 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. Tåsen School
    Tåsen School is a primary and lower secondary school located in the Nordre Aker borough of Oslo, Norway.
  • C. Morellbakken School
    Morellbakken School is an educational institution located in the Nordre Aker borough of Oslo, Norway.
  • D. Djursholms Samskola
    Djursholms Samskola is a prominent independent school in Djursholm, Sweden, known for its long academic tradition and role in educating many notable figures.
  • E. Vanløse School
    Vanløse School is a primary and lower secondary school located in the Vanløse district of Copenhagen, Denmark.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gvarv school
Triple: [Gvarv, hasPrimarySchool, Gvarv school]
Generated description
Gvarv school is a local primary educational institution serving children in the village of Gvarv, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gvarv school
Target entity description: Gvarv school is a local primary educational institution serving children in the village of Gvarv, Norway.
  • 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. Tåsen School
    Tåsen School is a primary and lower secondary school located in the Nordre Aker borough of Oslo, Norway.
  • C. Morellbakken School
    Morellbakken School is an educational institution located in the Nordre Aker borough of Oslo, Norway.
  • D. Djursholms Samskola
    Djursholms Samskola is a prominent independent school in Djursholm, Sweden, known for its long academic tradition and role in educating many notable figures.
  • E. Vanløse School
    Vanløse School is a primary and lower secondary school located in the Vanløse district of Copenhagen, Denmark.
  • F. None of above. chosen

Provenance (5 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a79a208190a5a7c0f6515bc393 completed April 20, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0855262c548190b5f6102b4e6e01a6 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0856ac50e081909c8bc737e4fe6e56 completed May 16, 2026, 11:36 a.m.
NED2 Entity disambiguation (via description) batch_6a085746f2f08190a703a832f5867c7b completed May 16, 2026, 11:38 a.m.
Created at: April 11, 2026, 11:41 p.m.