Triple
T20319406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner Sound region |
E492168
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Raasay |
—
|
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: Raasay | Statement: [Inner Sound region, hasIsland, Raasay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raasay Context triple: [Inner Sound region, hasIsland, Raasay]
-
A.
Raasay
chosen
Raasay is a small, sparsely populated Scottish island in the Inner Hebrides, known for its rugged landscapes, quiet villages, and views across to the Isle of Skye.
-
B.
Rasah
Rasah is a residential and administrative area within the city of Seremban in the Malaysian state of Negeri Sembilan.
-
C.
Raisuli
Raisuli is a charismatic Berber chieftain and anti-hero in the adventure film "The Wind and the Lion," loosely based on the historical Moroccan brigand Mulai Ahmed er Raisuni.
-
D.
Racha
Racha is a mountainous historical region in northwestern Georgia known for its scenic landscapes, traditional villages, and distinctive wines.
-
E.
Rasesa
Rasesa is a village in Botswana located within the Kgatleng District, near the capital city Gaborone.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778abd14819098a01fd32217fdde |
completed | April 20, 2026, 6:59 p.m. |
Created at: April 16, 2026, 11:20 a.m.