Triple

T400935
Position Surface form Disambiguated ID Type / Status
Subject Østfold University College E9278 entity
Predicate abbreviation P43 FINISHED
Object HiØ
HiØ is the Norwegian abbreviation for Østfold University College, a public institution of higher education and research in the Østfold region of Norway.
 E50835 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: HiØ | Statement: [Østfold University College, abbreviation, HiØ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HiØ
Context triple: [Østfold University College, abbreviation, HiØ]
  • A. Brega
    Brega is a strategic coastal town in northeastern Libya known for its major oil facilities and its role as a key battleground during the 2011 Libyan Civil War.
  • B. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • C. Rappen
    Rappen is the German term for the centime-like subunit of the Swiss franc, used to denote its smaller denominations.
  • D. Valbo
    Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
  • E. Krammer
    Krammer is a body of water in the Rhine–Meuse–Scheldt delta in the southwestern Netherlands, known as a former estuarine channel now separated from the sea by dams and used for recreation and water management.
  • 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: HiØ
Triple: [Østfold University College, abbreviation, HiØ]
Generated description
HiØ is the Norwegian abbreviation for Østfold University College, a public institution of higher education and research in the Østfold region of Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HiØ
Target entity description: HiØ is the Norwegian abbreviation for Østfold University College, a public institution of higher education and research in the Østfold region of Norway.
  • A. Brega
    Brega is a strategic coastal town in northeastern Libya known for its major oil facilities and its role as a key battleground during the 2011 Libyan Civil War.
  • B. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • C. Rappen
    Rappen is the German term for the centime-like subunit of the Swiss franc, used to denote its smaller denominations.
  • D. Valbo
    Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
  • E. Krammer
    Krammer is a body of water in the Rhine–Meuse–Scheldt delta in the southwestern Netherlands, known as a former estuarine channel now separated from the sea by dams and used for recreation and water management.
  • 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_69a2ec8e655c819081eff85c0ef55fa5 completed Feb. 28, 2026, 1:24 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.