Triple
T1161762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Leven (Fife) |
E24507
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Markinch |
E22708
|
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: Markinch | Statement: [River Leven (Fife), passesNear, Markinch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Markinch Context triple: [River Leven (Fife), passesNear, Markinch]
-
A.
Markinch
chosen
Markinch is a small historic town in Fife, Scotland, known for its ancient church and role as a local administrative and railway hub.
-
B.
Menstrie
Menstrie is a small village in central Scotland, situated at the foot of the Ochil Hills in Clackmannanshire.
-
C.
Bordon
Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
-
D.
Peebles
Peebles is a historic market town in the Scottish Borders, known for its scenic riverside setting, traditional architecture, and outdoor recreation.
-
E.
Kingham
Kingham is a picturesque rural village in the Cotswolds area of Oxfordshire, England, known for its traditional stone cottages and countryside setting.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcb1915081908834ced85d09e299 |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7642ff0c81909b323ac328b18e2e |
completed | March 7, 2026, 7:02 p.m. |
Created at: March 1, 2026, 7:45 p.m.