Triple
T20682318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danvikshem |
E508321
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Danvikstull |
—
|
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: Danvikstull | Statement: [Danvikshem, locatedNear, Danvikstull]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danvikstull Context triple: [Danvikshem, locatedNear, Danvikstull]
-
A.
Stangvik
Stangvik was a former municipality in Møre og Romsdal county, Norway, located in the Nordmøre region before being merged into Surnadal.
-
B.
Spiterstulen
Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
-
C.
Skanstull
chosen
Skanstull is a district in southern central Stockholm, Sweden, known as a major traffic junction and gateway to the island of Södermalm.
-
D.
Kvernberget
Kvernberget is a hill and surrounding area in Kristiansund, Norway, known for giving its name to the nearby regional airport.
-
E.
Vårberg
Vårberg is a residential district in southern Stockholm, Sweden, known for its suburban housing areas and proximity to Lake Mälaren.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea842dc81908106a0c29d1577aa |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:45 a.m.