Triple
T4062850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borders |
E86254
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | town of Selkirk |
E134871
|
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: town of Selkirk | Statement: [Borders, contains, town of Selkirk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Selkirk Context triple: [Borders, contains, town of Selkirk]
-
A.
Selkirk
chosen
Selkirk is a historic town in the Scottish Borders known for its legal heritage, including past judicial functions and associations with Scotland’s justice system.
-
B.
King’s Town
King’s Town is the former name of Kingston, the capital and largest city of Jamaica.
-
C.
Dunkeld
Dunkeld is a historic town in Perth and Kinross, Scotland, known for its picturesque setting on the River Tay and its medieval cathedral.
-
D.
Galashiels
Galashiels is a town in the Scottish Borders known historically for its textile industry and as a regional commercial and educational hub.
-
E.
Roxburgh
Roxburgh is a historic area in the Scottish Borders that was once a significant medieval royal burgh and fortress.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbd60cc081908764fcc8206bc1ef |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562ae949c819092affaaca97c16d1 |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:38 p.m.