Triple
T882261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Tweed |
E19051
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Galashiels |
E144812
|
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: Galashiels | Statement: [River Tweed, passesThrough, Galashiels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galashiels Context triple: [River Tweed, passesThrough, Galashiels]
-
A.
Galashiels
chosen
Galashiels is a town in the Scottish Borders known historically for its textile industry and as a regional commercial and educational hub.
-
B.
Kirriemuir
Kirriemuir is a small historic town in eastern Scotland, best known as the birthplace of Peter Pan author J. M. Barrie.
-
C.
Dumfries
Dumfries is a small historic town in Prince William County, Virginia, considered one of the oldest continuously chartered towns in the United States.
-
D.
Brechin
Brechin is a historic town in eastern Scotland known for its medieval cathedral and one of the few surviving round towers in the country.
-
E.
Larbert
Larbert is a small town in central Scotland, situated in the Falkirk council area and historically known for its industrial heritage and transport links.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4accc863c8190be9e5350732c30b1 |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef058e1188190963e48b37cb0bb12 |
completed | March 9, 2026, 4:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.