Triple
T13587022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayton |
E324592
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Eye Water |
E324599
|
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: Eye Water | Statement: [Ayton, locatedOn, Eye Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eye Water Context triple: [Ayton, locatedOn, Eye Water]
-
A.
Eye Water
chosen
Eye Water is a river in the Scottish Borders region of Berwickshire, known for flowing through rural landscapes before reaching the North Sea.
-
B.
Eye
Eye is a small historic market town in Suffolk, England, known for its medieval architecture and rural surroundings.
-
C.
Eyes
"Eyes" is a multimedia artwork by American video artist Tony Oursler, known for its haunting projected imagery that explores themes of perception and psychological unease.
-
D.
River Eye
The River Eye is a small river in Gloucestershire, England, known for flowing through the Cotswold countryside and picturesque villages before joining the River Windrush.
-
E.
River Eye
The River Eye is a small river in eastern England that flows through rural Leicestershire before joining the River Witham.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb054c6008190839384ce26e8f71a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc148d08190821614a866d1a7f0 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.