Triple
T16342088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storfjorden |
E396830
|
entity |
| Predicate | hasNearbyVillage |
P4647
|
FINISHED |
| Object | Stordal |
E522159
|
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: Stordal | Statement: [Storfjorden, hasNearbyVillage, Stordal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stordal Context triple: [Storfjorden, hasNearbyVillage, Stordal]
-
A.
Stordal
chosen
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
B.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
-
C.
Norddal
Norddal is a small village and former municipality in Møre og Romsdal county in western Norway, situated in the Sunnmøre region.
-
D.
Gangstad
Gangstad is a small settlement located within the municipality of Inderøy in Trøndelag county, Norway.
-
E.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da0ad510819082e440f5e2bceada |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fb40dc08190b9d6a04f3c19f57d |
completed | May 11, 2026, 4:48 a.m. |
Created at: April 10, 2026, 5:07 a.m.