Triple
T7843698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Coquet |
E181866
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Thropton |
E173213
|
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: Thropton | Statement: [River Coquet, flowsThrough, Thropton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thropton Context triple: [River Coquet, flowsThrough, Thropton]
-
A.
Thropton
chosen
Thropton is a small rural village in Northumberland, England, situated near the market town of Rothbury in the Coquet Valley.
-
B.
Tytherington
Tytherington is a small village and civil parish in South Gloucestershire, England, known for its rural character and historic buildings.
-
C.
Thrupp
Thrupp is a small canal-side village in Oxfordshire, England, known for its historic wharf and picturesque setting along the Oxford Canal.
-
D.
Peddle Thorp
Peddle Thorp is an Australian architectural firm known for designing a wide range of commercial, residential, and public buildings.
-
E.
Wolterton
Wolterton is an English country estate and civil parish in Norfolk, best known as the setting of the historic Wolterton Hall.
- 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.