Triple

T6401697
Position Surface form Disambiguated ID Type / Status
Subject Sagene district E144077 entity
Predicate hasNeighbouringBorough P16160 FINISHED
Object St. Hanshaugen E164799 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: St. Hanshaugen | Statement: [Sagene district, hasNeighbouringBorough, St. Hanshaugen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Hanshaugen
Context triple: [Sagene district, hasNeighbouringBorough, St. Hanshaugen]
  • A. St. Hanshaugen chosen
    St. Hanshaugen is a central borough of Oslo, Norway, known for its large hillside park and vibrant urban residential areas.
  • B. Frognerseteren
    Frognerseteren is a hilltop area in Oslo, Norway, known for its panoramic views over the city, traditional wooden restaurant, and access to popular hiking and skiing trails.
  • C. St. Hanshaugen Church
    St. Hanshaugen Church is a notable parish church in Oslo, Norway, serving as a key religious and architectural landmark in the St. Hanshaugen area.
  • D. Skøyen
    Skøyen is a neighborhood in western Oslo, Norway, known as a busy residential and commercial hub with strong public transport connections.
  • E. Alstahaug
    Alstahaug is a coastal municipality in northern Norway known for its historic church, island landscapes, and maritime heritage.
  • 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c068ade8c881908a0472f1de6b7c21 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638a37f8c8190a052eeb202b35df3 completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:35 p.m.