Triple

T4458886
Position Surface form Disambiguated ID Type / Status
Subject Inland Norway University of Applied Sciences E98200 entity
Predicate hasCampusIn P4623 FINISHED
Object Blæstad
Blæstad is a campus location of Inland Norway University of Applied Sciences, known for its focus on agricultural and environmental studies.
 E443444 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: Blæstad | Statement: [Inland Norway University of Applied Sciences, hasCampusIn, Blæstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blæstad
Context triple: [Inland Norway University of Applied Sciences, hasCampusIn, Blæstad]
  • A. Bolnes
    Bolnes is a Dutch surname most notably associated with Catharina Bolnes, the wife of painter Johannes Vermeer.
  • B. Alstahaug
    Alstahaug is a coastal municipality in northern Norway known for its historic church, island landscapes, and maritime heritage.
  • C. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • D. Giske
    Giske is a coastal municipality in Møre og Romsdal county, Norway, known for its islands, fishing communities, and proximity to the town of Ålesund.
  • E. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
  • 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: Blæstad
Triple: [Inland Norway University of Applied Sciences, hasCampusIn, Blæstad]
Generated description
Blæstad is a campus location of Inland Norway University of Applied Sciences, known for its focus on agricultural and environmental studies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blæstad
Target entity description: Blæstad is a campus location of Inland Norway University of Applied Sciences, known for its focus on agricultural and environmental studies.
  • A. Bolnes
    Bolnes is a Dutch surname most notably associated with Catharina Bolnes, the wife of painter Johannes Vermeer.
  • B. Alstahaug
    Alstahaug is a coastal municipality in northern Norway known for its historic church, island landscapes, and maritime heritage.
  • C. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • D. Giske
    Giske is a coastal municipality in Møre og Romsdal county, Norway, known for its islands, fishing communities, and proximity to the town of Ålesund.
  • E. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3567184f481908a2787e4ac9bb345 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b63767f8d08190a58cc441471adf90 completed March 15, 2026, 4:36 a.m.
NEDg Description generation batch_69b63823c30c8190af727acae00da9d3 completed March 15, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69b638a398f88190bd0f041e9494aeba completed March 15, 2026, 4:42 a.m.
Created at: March 12, 2026, 11:33 p.m.