Triple
T13503737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladybank |
E320956
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Cupar |
E21353
|
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: Cupar | Statement: [Ladybank, nearbySettlement, Cupar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cupar Context triple: [Ladybank, nearbySettlement, Cupar]
-
A.
Cupar
chosen
Cupar is a historic market town in eastern Scotland that once served as the county town of Fife.
-
B.
Dunfermline
Dunfermline is a historic Scottish town and former royal capital known for its medieval abbey and rich cultural heritage.
-
C.
Gartcosh
Gartcosh is a village in North Lanarkshire, Scotland, historically known for its steelworks and now part of the Greater Glasgow commuter belt.
-
D.
Arbirlot
Arbirlot is a small rural village in the Angus council area of eastern Scotland, known for its historic parish church and scenic countryside setting near the North Sea coast.
-
E.
Tyndrum
Tyndrum is a small village in the Scottish Highlands that serves as a key road and rail junction for travelers heading to western and northern Scotland.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf810e248190a060481004503f96 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54f5323c8190aa239bad461b0857 |
completed | May 8, 2026, 3:13 a.m. |
Created at: April 9, 2026, 9:43 p.m.