Triple
T5967374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sauchie |
E132784
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Coalsnaughton |
E108975
|
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: Coalsnaughton | Statement: [Sauchie, adjacentTo, Coalsnaughton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coalsnaughton Context triple: [Sauchie, adjacentTo, Coalsnaughton]
-
A.
Coalsnaughton
chosen
Coalsnaughton is a small village in central Scotland situated within the council area of Clackmannanshire.
-
B.
Coryton
Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
-
C.
Ketteringham
Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
-
D.
Loveclough
Loveclough is a small village in Lancashire, England, situated in the Rossendale Valley and known for its rural setting and surrounding moorland.
-
E.
Yattendon
Yattendon is a small village and civil parish in Berkshire, England, known for its rural character and historic buildings.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a3f612481908744cb645f2ede1d |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1083b22788190be47b593b30184c6 |
completed | March 23, 2026, 9:30 a.m. |
Created at: March 22, 2026, 4:03 p.m.