Triple

T21562473
Position Surface form Disambiguated ID Type / Status
Subject Blindern campus E532071 entity
Predicate hasPart P35 FINISHED
Object Helga Eng House
Helga Eng House is an academic building on the University of Oslo’s Blindern campus, primarily associated with education and psychology.
E1490971 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: Helga Eng House | Statement: [Blindern campus, hasPart, Helga Eng House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helga Eng House
Context triple: [Blindern campus, hasPart, Helga Eng House]
  • A. Humlegården
    Humlegården is a large historic park in central Stockholm known for its green spaces, walking paths, and recreational areas.
  • B. Egelund House
    Egelund House is a historic Danish royal residence associated with members of the Danish royal family, including Prince Gustav of Denmark.
  • C. Stenbock House
    Stenbock House is a historic neoclassical building in Tallinn that serves as the seat of the Government of Estonia and the official office of the Prime Minister.
  • D. Ulva House
    Ulva House is a notable historic residence located on the Scottish island of Ulva.
  • E. Ernst Ludwig House
    Ernst Ludwig House is a historic Art Nouveau building in Darmstadt, Germany, originally designed as a studio and exhibition space for members of the Darmstadt Artists’ Colony.
  • 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: Helga Eng House
Triple: [Blindern campus, hasPart, Helga Eng House]
Generated description
Helga Eng House is an academic building on the University of Oslo’s Blindern campus, primarily associated with education and psychology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Helga Eng House
Target entity description: Helga Eng House is an academic building on the University of Oslo’s Blindern campus, primarily associated with education and psychology.
  • A. Humlegården
    Humlegården is a large historic park in central Stockholm known for its green spaces, walking paths, and recreational areas.
  • B. Egelund House
    Egelund House is a historic Danish royal residence associated with members of the Danish royal family, including Prince Gustav of Denmark.
  • C. Stenbock House
    Stenbock House is a historic neoclassical building in Tallinn that serves as the seat of the Government of Estonia and the official office of the Prime Minister.
  • D. Ulva House
    Ulva House is a notable historic residence located on the Scottish island of Ulva.
  • E. Ernst Ludwig House
    Ernst Ludwig House is a historic Art Nouveau building in Darmstadt, Germany, originally designed as a studio and exhibition space for members of the Darmstadt Artists’ Colony.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e5c3348190b67003e7027efa60 completed April 27, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eeeb5c6081908267b5825acddad5 completed May 17, 2026, 4:38 p.m.
NEDg Description generation batch_6a09f3334a088190b16c3715c786f4e2 completed May 17, 2026, 4:56 p.m.
NED2 Entity disambiguation (via description) batch_6a09f40c04a48190b60c80f44759b295 completed May 17, 2026, 4:59 p.m.
Created at: April 16, 2026, 6:29 p.m.