Triple
T13005354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Stephens |
E322270
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Wastwater |
E120950
|
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: Wastwater | Statement: [Simon Stephens, notableWork, Wastwater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wastwater Context triple: [Simon Stephens, notableWork, Wastwater]
-
A.
Wast Water
chosen
Wast Water is a deep, glacial lake in England’s Lake District, renowned for its dramatic surrounding peaks and remote, rugged scenery.
-
B.
Achterwasser
Achterwasser is a coastal lagoon on the German island of Usedom, connected to the Baltic Sea and known for its shallow waters and scenic natural surroundings.
-
C.
Lightwater
Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
-
D.
River Suck
River Suck is a major river in western Ireland that flows through counties such as Roscommon and Galway before joining the River Shannon.
-
E.
Wasserbillig
Wasserbillig is a town in eastern Luxembourg on the border with Germany, known as a key cross-border transport and railway junction.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9b27ec8190815c40a05b9ba7d0 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c109e59481909fc46b152034c6a9 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:48 p.m.