Triple
T15189279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bebington |
E362961
|
entity |
| Predicate | locatedNearWaterBody |
P25960
|
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: [Bebington, locatedNearWaterBody, River Mersey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Mersey Context triple: [Bebington, locatedNearWaterBody, 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.
Mersey River
The Mersey River is a significant river in northern Tasmania, Australia, flowing through the city of Devonport before emptying into Bass Strait.
-
C.
Mersey Estuary
The Mersey Estuary is the tidal mouth of the River Mersey in northwest England, forming a wide inlet between Liverpool and the Wirral Peninsula that is significant for shipping, industry, and wildlife habitats.
-
D.
The Dee
The Dee is a Scottish professional football club based in Dundee that competes in the Scottish football league system.
-
E.
Tyne
Tyne is a feminine given name most notably borne by American actress Tyne Daly.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067beedc8190abc0a94c7a38f85e |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed32e425c819083f10f947c258a9b |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:10 a.m.