Triple

T5508508
Position Surface form Disambiguated ID Type / Status
Subject Sognsvann E144503 entity
Predicate partOf P40 FINISHED
Object Oslomarka
Oslomarka is the extensive forested and hilly recreational area surrounding Oslo, Norway, popular for hiking, skiing, and outdoor activities.
 E531610 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: Oslomarka | Statement: [Sognsvann, partOf, Oslomarka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oslomarka
Context triple: [Sognsvann, partOf, Oslomarka]
  • A. Mossemarka
    Mossemarka is a forested recreational area near the town of Moss in southeastern Norway, popular for outdoor activities such as hiking and skiing.
  • B. Skorba
    Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
  • C. Garmsar
    Garmsar is a city in Semnan Province of north-central Iran, known as a regional transport hub and gateway between Tehran and eastern parts of the country.
  • D. Andlau
    Andlau is a picturesque wine-growing village in northeastern France’s Alsace region, renowned for its historic abbey and surrounding vineyards.
  • E. Romsa
    Romsa is the Northern Sami name for Tromsø, a major city in northern Norway known as a cultural and economic hub above the Arctic Circle.
  • 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: Oslomarka
Triple: [Sognsvann, partOf, Oslomarka]
Generated description
Oslomarka is the extensive forested and hilly recreational area surrounding Oslo, Norway, popular for hiking, skiing, and outdoor activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oslomarka
Target entity description: Oslomarka is the extensive forested and hilly recreational area surrounding Oslo, Norway, popular for hiking, skiing, and outdoor activities.
  • A. Mossemarka
    Mossemarka is a forested recreational area near the town of Moss in southeastern Norway, popular for outdoor activities such as hiking and skiing.
  • B. Skorba
    Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
  • C. Garmsar
    Garmsar is a city in Semnan Province of north-central Iran, known as a regional transport hub and gateway between Tehran and eastern parts of the country.
  • D. Andlau
    Andlau is a picturesque wine-growing village in northeastern France’s Alsace region, renowned for its historic abbey and surrounding vineyards.
  • E. Romsa
    Romsa is the Northern Sami name for Tromsø, a major city in northern Norway known as a cultural and economic hub above the Arctic Circle.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4a80d88190bab0056c4c78be93 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027c082108190a3c8f826a6aeef4c completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c03c0ab1d8819094aeaac0a5b57bc8 completed March 22, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_69c03cd550748190ab9718c510d2f0ca completed March 22, 2026, 7:02 p.m.
Created at: March 22, 2026, 3:33 p.m.