Triple

T14560968
Position Surface form Disambiguated ID Type / Status
Subject Inderhavnen E341662 entity
Predicate adjacentTo P224 FINISHED
Object Refshaleøen E1080609 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: Refshaleøen | Statement: [Inderhavnen, adjacentTo, Refshaleøen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Refshaleøen
Context triple: [Inderhavnen, adjacentTo, Refshaleøen]
  • A. Refshaleøen chosen
    Refshaleøen is a former industrial island in Copenhagen, Denmark, now known for its creative hubs, cultural venues, and waterfront recreational spaces.
  • B. Opalsøen
    Opalsøen is a scenic former granite quarry lake on the Danish island of Bornholm, known for its emerald-green water and dramatic rocky surroundings that attract hikers and nature lovers.
  • C. Hvidøen
    Hvidøen is the former name of Kvitøya, a remote, ice-covered island in the Svalbard archipelago of the Arctic Ocean.
  • D. Bjørnø
    Bjørnø is a small Danish island known for its tranquil rural landscape and coastal scenery in the South Funen region.
  • E. Skarø
    Skarø is a small Danish island in the Baltic Sea known for its scenic landscapes, birdlife, and popular summer ice cream and music festival.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb389d0f48190a1d9d69456d1cbe1 completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac294748190a4bfeed8c5fd9e94 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.