Triple
T21784070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majorstuen |
E537788
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object | Vinderen |
—
|
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: Vinderen | Statement: [Majorstuen, hasNearbyArea, Vinderen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinderen Context triple: [Majorstuen, hasNearbyArea, Vinderen]
-
A.
Vinderen
chosen
Vinderen is a residential neighborhood in Oslo, Norway, known for its affluent character, green surroundings, and convenient access to the city center.
-
B.
Sauviat
Sauviat is a commune in central France, located within the Puy-de-Dôme department in the Auvergne region.
-
C.
De Wilp
De Wilp is a village in the Dutch province of Groningen, known for its rural character and location near the border with Friesland.
-
D.
Pilerne
Pilerne is a village in North Goa, India, known for its scenic landscapes, salt pans, and proximity to popular coastal and urban areas like Candolim and Panaji.
-
E.
Lykling
Lykling is an island in western Norway known for its coastal landscape and location within Bømlo Municipality in Vestland county.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f046303d54819096b3fab4ab5678e6 |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.