Triple
T5315091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cramond |
E119126
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object | Silverknowes |
E355680
|
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: Silverknowes | Statement: [Cramond, hasNearbyArea, Silverknowes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silverknowes Context triple: [Cramond, hasNearbyArea, Silverknowes]
-
A.
Silverknowes
chosen
Silverknowes is a coastal residential area in northwest Edinburgh, Scotland, known for its promenade, golf course, and views over the Firth of Forth.
-
B.
Lanark Silver Bell
Lanark Silver Bell is a historic Scottish horse race, reputed to be one of the oldest racing trophies in the world.
-
C.
Kyleakin
Kyleakin is a small coastal village on the Isle of Skye in Scotland, known for its harbor, views toward the Skye Bridge, and role as a gateway between Skye and the mainland.
-
D.
Elfstone
Elfstone is an honorific name given to Aragorn, the Dúnedain ranger who becomes King Elessar in J.R.R. Tolkien’s Middle-earth legendarium.
-
E.
Silverbar
Silverbar is a central fish character in Rachel Carson’s nature book "Under the Sea-Wind," used to vividly portray marine life and ocean ecology.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd854eb3248190b42a4b52f1c81bef |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf110ad9688190aa74122adb8ee52d |
completed | March 21, 2026, 9:43 p.m. |
Created at: March 20, 2026, 1:54 p.m.