Triple

T400927
Position Surface form Disambiguated ID Type / Status
Subject Østfold University College E9278 entity
Predicate hasCampusIn P4623 FINISHED
Object Moss
Moss is a coastal town and municipality in southeastern Norway known for its industrial history, cultural life, and role as a regional hub in Østfold.
 E50834 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: Moss | Statement: [Østfold University College, hasCampusIn, Moss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moss
Context triple: [Østfold University College, hasCampusIn, Moss]
  • A. Shadowmoss
    Shadowmoss is a tram stop on the Manchester Metrolink network in the Wythenshawe area of Greater Manchester, England.
  • B. Muck
    Muck is one of the Small Isles of Scotland, a tiny Inner Hebridean island known for its rugged coastline, wildlife, and remote rural character.
  • C. Greenleaf
    Greenleaf is the middle name of the 19th-century American Quaker poet and abolitionist John Greenleaf Whittier.
  • D. The Stump
    The Stump is the popular nickname for the towering parish church of St Botolph in Boston, Lincolnshire, renowned for its massive, landmark tower visible for miles across the flat surrounding landscape.
  • E. Schaumainkai
    Schaumainkai is a prominent riverside street along the south bank of the Main River in Frankfurt, Germany, known for its concentration of major museums and cultural institutions.
  • 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: Moss
Triple: [Østfold University College, hasCampusIn, Moss]
Generated description
Moss is a coastal town and municipality in southeastern Norway known for its industrial history, cultural life, and role as a regional hub in Østfold.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moss
Target entity description: Moss is a coastal town and municipality in southeastern Norway known for its industrial history, cultural life, and role as a regional hub in Østfold.
  • A. Shadowmoss
    Shadowmoss is a tram stop on the Manchester Metrolink network in the Wythenshawe area of Greater Manchester, England.
  • B. Muck
    Muck is one of the Small Isles of Scotland, a tiny Inner Hebridean island known for its rugged coastline, wildlife, and remote rural character.
  • C. Greenleaf
    Greenleaf is the middle name of the 19th-century American Quaker poet and abolitionist John Greenleaf Whittier.
  • D. The Stump
    The Stump is the popular nickname for the towering parish church of St Botolph in Boston, Lincolnshire, renowned for its massive, landmark tower visible for miles across the flat surrounding landscape.
  • E. Schaumainkai
    Schaumainkai is a prominent riverside street along the south bank of the Main River in Frankfurt, Germany, known for its concentration of major museums and cultural institutions.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ee2c2d1881909aa1ccfaa4172b38 completed Feb. 28, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69a410410c108190990d4d5ef2e7ff61 completed March 1, 2026, 10:09 a.m.
NEDg Description generation batch_69a410ce17ac8190a3ac2325e36cf6b3 completed March 1, 2026, 10:11 a.m.
NED2 Entity disambiguation (via description) batch_69a41125951c8190accbf273ef677206 completed March 1, 2026, 10:12 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.