Triple
T1219556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Wey |
E26186
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Cranleigh Waters |
E31256
|
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: Cranleigh Waters | Statement: [River Wey, hasTributary, Cranleigh Waters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cranleigh Waters Context triple: [River Wey, hasTributary, Cranleigh Waters]
-
A.
Cranleigh
chosen
Cranleigh is a large village and civil parish in the county of Surrey in southeast England, known for its rural setting and local amenities.
-
B.
Granta Park
Granta Park is a major science and business park in the Cambridge area, known for hosting high-tech and biotech companies within the broader Silicon Fen cluster.
-
C.
Priory Park
Priory Park is a historic public park in Reigate, Surrey, known for its landscaped grounds, lake, and family-friendly recreational facilities.
-
D.
Englefield Green
Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
-
E.
Farnham Park
Farnham Park is a large historic deer park and public green space in Farnham, Surrey, known for its extensive woodlands, open grasslands, and recreational facilities.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be1d55a08190a138b2411a7c4376 |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8322425c81909cc206b122416c43 |
completed | March 7, 2026, 7:57 p.m. |
Created at: March 1, 2026, 7:46 p.m.