Triple

T21888798
Position Surface form Disambiguated ID Type / Status
Subject Oslo International School E540481 entity
Predicate nearbyArea P2064 FINISHED
Object Grini
Grini is a residential and commercial area in the western part of Bærum, Norway, just outside Oslo.
E1507104 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: Grini | Statement: [Oslo International School, nearbyArea, Grini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grini
Context triple: [Oslo International School, nearbyArea, Grini]
  • A. Grunnegs
    Grunnegs is the local endonym for the Gronings dialect of Low Saxon spoken in the Dutch province of Groningen and surrounding areas.
  • B. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • C. Grødem
    Grødem is a coastal village in Randaberg municipality in Rogaland county, Norway, known for its residential areas and proximity to the city of Stavanger.
  • D. Grengiols
    Grengiols is a small Swiss village and municipality in the canton of Valais, known for its alpine setting and traditional rural character.
  • E. Gerinish
    Gerinish is a small crofting settlement on South Uist in the Outer Hebrides of Scotland.
  • 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: Grini
Triple: [Oslo International School, nearbyArea, Grini]
Generated description
Grini is a residential and commercial area in the western part of Bærum, Norway, just outside Oslo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grini
Target entity description: Grini is a residential and commercial area in the western part of Bærum, Norway, just outside Oslo.
  • A. Grunnegs
    Grunnegs is the local endonym for the Gronings dialect of Low Saxon spoken in the Dutch province of Groningen and surrounding areas.
  • B. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • C. Grødem
    Grødem is a coastal village in Randaberg municipality in Rogaland county, Norway, known for its residential areas and proximity to the city of Stavanger.
  • D. Grengiols
    Grengiols is a small Swiss village and municipality in the canton of Valais, known for its alpine setting and traditional rural character.
  • E. Gerinish
    Gerinish is a small crofting settlement on South Uist in the Outer Hebrides of Scotland.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118ef2b648190bbd78f6b3958d2ee completed April 28, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a52bd7064819082a40b8c41240880 completed May 17, 2026, 11:43 p.m.
NEDg Description generation batch_6a0a56cc4d7081909d4d82acff2d787d completed May 18, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_6a0a5775bba4819083357b518589be41 completed May 18, 2026, 12:04 a.m.
Created at: April 16, 2026, 7:05 p.m.