Triple
T22692081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rendcomb |
E561075
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | River Churn |
—
|
NE NERFINISHED |
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: River Churn | Statement: [Rendcomb, locatedOn, River Churn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Churn Context triple: [Rendcomb, locatedOn, River Churn]
-
A.
River Churn
chosen
River Churn is a tributary of the River Thames in Gloucestershire, England, flowing through the Cotswolds and the town of Cirencester.
-
B.
River Ember
The River Ember is a small watercourse in Surrey, England, that branches from and later rejoins the River Mole before flowing toward the River Thames.
-
C.
Springwater
Springwater is a rural township in central Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
-
D.
Springwater
Springwater is a small rural community located within Waushara County in central Wisconsin.
-
E.
River Burn
River Burn is a small river in Norfolk, England, known for flowing through the village of Burnham Thorpe near the north Norfolk coast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789ba0148190891781d05ec64f3c |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:13 p.m.