Triple
T962313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Carron |
E20761
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Grangemouth |
E35492
|
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: Grangemouth | Statement: [River Carron, flowsNear, Grangemouth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grangemouth Context triple: [River Carron, flowsNear, Grangemouth]
-
A.
Grangemouth
chosen
Grangemouth is a major Scottish industrial town best known for its large petrochemical complex and one of the UK’s busiest container ports.
-
B.
Greenock
Greenock is a historic port town and former shipbuilding center on the River Clyde in western Scotland.
-
C.
Motherwell
Motherwell is a former industrial town in North Lanarkshire, Scotland, historically known as a major center of the steel industry.
-
D.
Arbroath
Arbroath is a coastal town in eastern Scotland, historically known for the Declaration of Arbroath and its traditional smoked haddock, Arbroath smokies.
-
E.
Kirkcaldy
Kirkcaldy is a coastal town on the east coast of Scotland, known historically for its linoleum industry and as one of the largest settlements in Fife.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b415ac688190bbcef455935a3116 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac11a6107481909b152291a73958d3 |
completed | March 7, 2026, 11:53 a.m. |
Created at: March 1, 2026, 7:40 p.m.