Triple
T21298710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ørskog |
E524996
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Skodje |
—
|
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: Skodje | Statement: [Ørskog, borderedBy, Skodje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skodje Context triple: [Ørskog, borderedBy, Skodje]
-
A.
Skodje
chosen
Skodje is a village and former municipality in western Norway, known for its scenic fjord landscape and historic stone arch bridge.
-
B.
Skrad
Skrad is a small mountain town in Croatia’s Gorski Kotar region, known for its forested landscapes, hiking trails, and nearby natural attractions such as canyons and waterfalls.
-
C.
Skorba
Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
-
D.
Skopin
Skopin is a historic town in western Russia known for its traditional pottery and ceramics industry.
-
E.
Kopaska
Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385a24d08190bfd410c7f10fa6f7 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:05 p.m.