Triple
T7843701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Coquet |
E181866
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Hepple |
E679394
|
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: Hepple | Statement: [River Coquet, flowsThrough, Hepple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hepple Context triple: [River Coquet, flowsThrough, Hepple]
-
A.
Hepple
chosen
Hepple is a small rural village in Northumberland, England, situated in the scenic Coquet Valley.
-
B.
Brighouse
Brighouse is a market and industrial town in the metropolitan borough of Calderdale in northern England.
-
C.
Slaithwaite
Slaithwaite is a village in West Yorkshire, England, situated in the Colne Valley near Huddersfield and known for its historic canalside setting and former textile mills.
-
D.
Milnrow
Milnrow is a town in Greater Manchester, England, historically part of Lancashire and known for its textile heritage and proximity to the Pennine hills.
-
E.
Ferryhill
Ferryhill is a small town in County Durham, England, known historically for its coal mining heritage and location between Durham and Darlington.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb163c72248190b53bc53980e8ac0f |
completed | March 31, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ae9758c819091e270343ed289aa |
completed | March 31, 2026, 5:26 a.m. |
Created at: March 30, 2026, 4:48 p.m.