Triple

T7346038
Position Surface form Disambiguated ID Type / Status
Subject Tøyen metro station E169381 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Tøyen Park E169377 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: Tøyen Park | Statement: [Tøyen metro station, hasNearbyAttraction, Tøyen Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tøyen Park
Context triple: [Tøyen metro station, hasNearbyAttraction, Tøyen Park]
  • A. Tøyen Park chosen
    Tøyen Park is a large public park in Oslo, Norway, known for its green spaces, cultural venues, and proximity to attractions like the Munch Museum and the Botanical Garden.
  • B. Bjølsen Park
    Bjølsen Park is a public green space in the Bjølsen area of Oslo, Norway, known as a local recreational area for residents of the Sagene district.
  • C. Högalid Park
    Högalid Park is a green public park in Stockholm, Sweden, known for its elevated setting and views, with the twin-towered Högalid Church prominently overlooking it.
  • D. Stulsaft Park
    Stulsaft Park is a large natural open-space park in Redwood City, California, known for its wooded trails, creek, and family-friendly recreation areas.
  • E. Hanssenspark
    Hanssenspark is a public park in Vilvoorde, Belgium, known as one of the town’s main green recreational 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0f0329c8190a0182e3bf62604e5 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ebdf56481909bc6748179353906 completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 3:05 p.m.