Triple
T6734965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Teviot |
E153730
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Hawick |
E314474
|
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: Hawick | Statement: [River Teviot, flowsThrough, Hawick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawick Context triple: [River Teviot, flowsThrough, Hawick]
-
A.
Hawick
chosen
Hawick is a historic textile-producing town in the Scottish Borders, known for its knitwear industry and rugby tradition.
-
B.
Kirriemuir
Kirriemuir is a small historic town in eastern Scotland, best known as the birthplace of Peter Pan author J. M. Barrie.
-
C.
Galashiels
Galashiels is a town in the Scottish Borders known historically for its textile industry and as a regional commercial and educational hub.
-
D.
Jedburgh
Jedburgh is a historic town in the Scottish Borders, known for its medieval abbey, ruined castle jail, and role as a former royal burgh near the English border.
-
E.
Linlithgow
Linlithgow is a historic Scottish town in West Lothian, best known for the ruins of Linlithgow Palace, birthplace of Mary, Queen of Scots.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16ecbe08190b019d547f631a725 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0703288190906cfcaba9d9c85a |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:09 p.m.