Triple
T16326740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinnesswood |
E396438
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Scotlandwell |
E710700
|
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: Scotlandwell | Statement: [Kinnesswood, locatedNear, Scotlandwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scotlandwell Context triple: [Kinnesswood, locatedNear, Scotlandwell]
-
A.
Scotlandwell
chosen
Scotlandwell is a small historic village in eastern Scotland, known for its ancient holy well and location near Loch Leven.
-
B.
Galashiels
Galashiels is a town in the Scottish Borders known historically for its textile industry and as a regional commercial and educational hub.
-
C.
Penicuik
Penicuik is a small Scottish town situated to the south of Edinburgh, known historically for its paper mills and proximity to the Pentland Hills.
-
D.
Motherwell
Motherwell is a former industrial town in North Lanarkshire, Scotland, historically known as a major center of the steel industry.
-
E.
Motherwell
Motherwell is a large township in the Eastern Cape province of South Africa, situated within the Nelson Mandela Bay Metropolitan Municipality and known for its dense residential communities and socio-economic challenges.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296bab8b48190b373b4efbd6f0d8c |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260f487c81909e3e54e47c11b83a |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.