Triple
T23039633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Sea approaches to Shetland |
E573698
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Noss |
—
|
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: Noss | Statement: [North Sea approaches to Shetland, hasNearbyIsland, Noss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noss Context triple: [North Sea approaches to Shetland, hasNearbyIsland, Noss]
-
A.
Noss
chosen
Noss is a small, uninhabited island in the Shetland Islands of Scotland, renowned for its dramatic cliffs and important seabird colonies.
-
B.
Nos
Nos is the original Russian title of Nikolai Gogol's satirical short story "The Nose," which follows a St. Petersburg official whose nose leaves his face and develops a life of its own.
-
C.
Nos
Nos is a railway station in Chile that serves as a stop on the Metrotren Nos commuter rail service connecting Santiago with its southern suburbs.
-
D.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
-
E.
Nessa
Nessa is a small locality situated within the Leipzig metropolitan region in Germany.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f185121da0819095b523d7d2c923ab |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:53 p.m.