Triple

T23076610
Position Surface form Disambiguated ID Type / Status
Subject Rommen E575347 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Stovner E585227 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: Stovner | Statement: [Rommen, hasNeighbourhood, Stovner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stovner
Context triple: [Rommen, hasNeighbourhood, Stovner]
  • A. Stovner chosen
    Stovner is a residential borough in the northeastern part of Oslo, Norway, known for its diverse population and large housing estates.
  • B. Storvika
    Storvika is a small coastal settlement in the Tysfjorden area of Nordland county in northern Norway.
  • C. Fenstad
    Fenstad is a village in Nes municipality in Akershus, Norway.
  • D. Stangvik
    Stangvik was a former municipality in Møre og Romsdal county, Norway, located in the Nordmøre region before being merged into Surnadal.
  • E. Storvik
    Storvik is a locality in Gävleborg County, Sweden, known historically as a railway junction and small industrial community.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c63870c81909a08a3b410c0d417 completed April 29, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15acfcb48190a4131dc8c6c76f02 completed May 19, 2026, 7:47 a.m.
Created at: April 17, 2026, 3:56 p.m.