Triple

T6209123
Position Surface form Disambiguated ID Type / Status
Subject Søndre Nordstrand E138821 entity
Predicate contains P35 FINISHED
Object Rommen
Rommen is a neighborhood in Oslo, Norway, situated within the Søndre Nordstrand borough.
E575347 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: Rommen | Statement: [Søndre Nordstrand, contains, Rommen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rommen
Context triple: [Søndre Nordstrand, contains, Rommen]
  • A. Romerike
    Romerike is a traditional district in southeastern Norway, northeast of Oslo, known for its mix of agricultural landscapes, growing suburbs, and key transport links including Oslo Airport Gardermoen.
  • B. Rometty
    Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
  • C. Rombaken
    Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
  • D. Rokkasen
    Rokkasen refers to the group of six celebrated classical Japanese waka poets of the early Heian period, renowned for their exemplary and influential verse.
  • E. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • 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: Rommen
Triple: [Søndre Nordstrand, contains, Rommen]
Generated description
Rommen is a neighborhood in Oslo, Norway, situated within the Søndre Nordstrand borough.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rommen
Target entity description: Rommen is a neighborhood in Oslo, Norway, situated within the Søndre Nordstrand borough.
  • A. Romerike
    Romerike is a traditional district in southeastern Norway, northeast of Oslo, known for its mix of agricultural landscapes, growing suburbs, and key transport links including Oslo Airport Gardermoen.
  • B. Rometty
    Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
  • C. Rombaken
    Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
  • D. Rokkasen
    Rokkasen refers to the group of six celebrated classical Japanese waka poets of the early Heian period, renowned for their exemplary and influential verse.
  • E. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0628850bc819080a26c5e05a1d29f completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f52829c81909bdd422cbb1eabf4 completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1d2bc0c448190b1ae105212f5c933 completed March 23, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69c1d33e93e48190a0962f69e7601160 completed March 23, 2026, 11:56 p.m.
Created at: March 22, 2026, 4:21 p.m.