Triple
T17391339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal National City Park |
E422829
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Brunnsviken |
—
|
NE NERFINISHED |
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: Brunnsviken | Statement: [Royal National City Park, hasPart, Brunnsviken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brunnsviken Context triple: [Royal National City Park, hasPart, Brunnsviken]
-
A.
Brunnsviken
chosen
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
B.
Djurgårdsbrunnsviken
Djurgårdsbrunnsviken is a scenic bay in central Stockholm, Sweden, known for its waterfront promenades and its location within the historic Royal Djurgården area.
-
C.
Bråviken Bay
Bråviken Bay is a long, narrow inlet of the Baltic Sea in eastern Sweden, known for its scenic coastline and proximity to the city of Norrköping.
-
D.
Askrikefjärden
Askrikefjärden is a bay in the inner Stockholm archipelago in Sweden, known for its coastal landscapes and recreational boating waters.
-
E.
Mossesundet
Mossesundet is a strait in southeastern Norway that separates the town of Moss from the island of Jeløya.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43aba5398819096846bdeefde0788 |
completed | April 19, 2026, 2:15 a.m. |
Created at: April 10, 2026, 5:45 a.m.