Triple
T20220586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanylven |
E495241
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Syvde |
—
|
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: Syvde | Statement: [Vanylven, hasSettlement, Syvde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syvde Context triple: [Vanylven, hasSettlement, Syvde]
-
A.
Syvde
chosen
Syvde is a small village in western Norway, located in the fjord landscape of Møre og Romsdal county within Vanylven Municipality.
-
B.
Syvota
Syvota is a coastal village and popular tourist resort on the Ionian Sea in northwestern Greece, known for its scenic bays and nearby islands.
-
C.
Lykling
Lykling is an island in western Norway known for its coastal landscape and location within Bømlo Municipality in Vestland county.
-
D.
Giæver
Giæver is a Norwegian surname borne by several notable figures in fields such as physics, literature, and public service.
-
E.
Skåde
Skåde is a residential neighborhood in the southern part of Aarhus, Denmark, known for its green areas and proximity to forests and coastline.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66edc88148190b003b72eb4c69da5 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:39 p.m.