Triple
T46169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Irwell |
E904
|
entity |
| Predicate | mouthLocation |
P417
|
FINISHED |
| Object | River Mersey |
E9452
|
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: River Mersey | Statement: [River Irwell, mouthLocation, River Mersey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Mersey Context triple: [River Irwell, mouthLocation, River Mersey]
-
A.
River Mersey
chosen
The River Mersey is a major river in North West England that flows through cities including Manchester and Liverpool before emptying into the Irish Sea.
-
B.
River Ribble
The River Ribble is a major river in northern England that flows through North Yorkshire and Lancashire before emptying into the Irish Sea near Preston.
-
C.
Severn
The Severn is the longest river in Great Britain, flowing through Wales and England before emptying into the Bristol Channel.
-
D.
Thames
The Thames is a major river in southern England that flows through London and has long been central to the country’s history, commerce, and culture.
-
E.
River Irk
The River Irk is a small river in Greater Manchester, England, that flows through the northern part of Manchester and has historically been associated with the city’s industrial development.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24af153b08190b0875b86d591d473 |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a27bfdda548190ae43a219cb555ad0 |
completed | Feb. 28, 2026, 5:24 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.