Triple

T22151443
Position Surface form Disambiguated ID Type / Status
Subject Middelalderparken E547421 entity
Predicate locatedNear P294 FINISHED
Object Ekeberg hill E1522154 NE FINISHED

How this triple was built (2 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: Ekeberg hill | Statement: [Middelalderparken, locatedNear, Ekeberg hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ekeberg hill
Context triple: [Middelalderparken, locatedNear, Ekeberg hill]
  • A. Ekebergskråningen
    Ekebergskråningen is a hillside residential area in Oslo, Norway, known for its green spaces and views over the city and Oslofjord.
  • B. Kalvarienberg hill
    Kalvarienberg hill is a religiously significant hill known for its devotional sites and processional paths commemorating the Passion of Christ.
  • C. Kolsås
    Kolsås is a suburban area in Bærum, Norway, known as the endpoint of one of the Oslo Metro lines and for its nearby forested hill popular for hiking and climbing.
  • D. Ekeberg area chosen
    The Ekeberg area is a hillside district in Oslo, Norway, known for its panoramic views over the city and Oslofjord, public parklands, and cultural attractions such as the Ekebergparken Sculpture Park.
  • E. St. Hanshaugen
    St. Hanshaugen is a central borough of Oslo, Norway, known for its large hillside park and vibrant urban residential areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f4b05c8190a824f55804f6d4d5 completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aa602503881908fafd095f40e6681 completed May 18, 2026, 5:39 a.m.
Created at: April 16, 2026, 8:33 p.m.