Triple

T15762857
Position Surface form Disambiguated ID Type / Status
Subject Hemnes E382140 entity
Predicate highestPoint P210 FINISHED
Object Okstinden
Okstinden is a prominent mountain peak in Nordland county, Norway, known as the highest summit in the Hemnes municipality and part of the Okstindan mountain range.
E1283048 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: Okstinden | Statement: [Hemnes, highestPoint, Okstinden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okstinden
Context triple: [Hemnes, highestPoint, Okstinden]
  • A. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • B. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • C. Tyssedal
    Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
  • D. Steinråa
    Steinråa is a small settlement located in Nannestad municipality in Viken county, Norway.
  • E. Stenåsa
    Stenåsa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and proximity to coastal and natural areas.
  • 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: Okstinden
Triple: [Hemnes, highestPoint, Okstinden]
Generated description
Okstinden is a prominent mountain peak in Nordland county, Norway, known as the highest summit in the Hemnes municipality and part of the Okstindan mountain range.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Okstinden
Target entity description: Okstinden is a prominent mountain peak in Nordland county, Norway, known as the highest summit in the Hemnes municipality and part of the Okstindan mountain range.
  • A. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • B. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • C. Tyssedal
    Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
  • D. Steinråa
    Steinråa is a small settlement located in Nannestad municipality in Viken county, Norway.
  • E. Stenåsa
    Stenåsa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and proximity to coastal and natural areas.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_6a022308f26081909d9c77d8327fee8e completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a0227c9e3408190ad559cd97919235d completed May 11, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_6a02282bb2748190ad51b83c240cc429 completed May 11, 2026, 7:04 p.m.
Created at: April 10, 2026, 4:47 a.m.