Triple
T15878509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloppen |
E385011
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Sandane |
E1181872
|
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: Sandane | Statement: [Gloppen, hasSettlement, Sandane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandane Context triple: [Gloppen, hasSettlement, Sandane]
-
A.
Sandane
chosen
Sandane is a village in Vestland county, Norway, known as the main settlement and hub of the Gloppen municipality.
-
B.
Saane
The Saane, also known as the Sarine, is a major river in western Switzerland that flows through the canton of Fribourg before joining the Aare.
-
C.
Sande
Sande is a small coastal municipality and village area in the Sunnmøre district of Møre og Romsdal county in western Norway.
-
D.
Sanaig
Sanaig is a core single malt Scotch whisky expression from Islay’s Kilchoman distillery, known for its balance of bourbon and sherry cask influence with a characteristically smoky, coastal profile.
-
E.
Sigdal
Sigdal is a rural municipality in southeastern Norway known for its forested landscapes, lakes, and traditional farming communities.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155ff96588190b8fca1c3bf4a39a2 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb043b6d48190bf9a36a3e00403c0 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.