Triple
T4361634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hucknall |
E98675
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | River Leen |
E102326
|
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 Leen | Statement: [Hucknall, hasRiver, River Leen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Leen Context triple: [Hucknall, hasRiver, River Leen]
-
A.
River Leen
chosen
The River Leen is a small river in Nottinghamshire, England, that flows through the city of Nottingham before joining the River Trent.
-
B.
River Lune
The River Lune is a river in North West England that flows through Cumbria and Lancashire before emptying into the Irish Sea near Lancaster.
-
C.
River Lliedi
The River Lliedi is a small river in Carmarthenshire, Wales, that flows through and historically shaped the industrial and coastal town of Llanelli.
-
D.
Lez River
The Lez River is a short coastal river in southern France that flows through the city of Montpellier before emptying into the Mediterranean Sea.
-
E.
River Brun
River Brun is a small river in Lancashire, England, that flows through the town of Burnley and contributes to its local landscape and waterways.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e47d388190b31500189577cd75 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69badb1ba5d0819097382a689002cca5 |
completed | March 18, 2026, 5:04 p.m. |
Created at: March 12, 2026, 11:16 p.m.