Triple
T17824736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyle River |
E445083
|
entity |
| Predicate | hasNameInFrench |
P6538
|
FINISHED |
| Object | Dyle |
—
|
NE NERFINISHED |
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: Dyle | Statement: [Dyle River, hasNameInFrench, Dyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dyle Context triple: [Dyle River, hasNameInFrench, Dyle]
-
A.
Dyle
chosen
Dyle is a river in central Belgium that flows through cities such as Leuven and Mechelen before joining the Rupel.
-
B.
Elwell
Elwell is a masculine given name of English origin, historically used in the United States and associated with figures such as military officer Elwell Stephen Otis.
-
C.
Dorodoche
Dorodoche is a minor figure in Greek mythology known primarily as the wife of Icarius.
-
D.
Longfield
Longfield is a village and civil parish in the borough of Dartford in north-west Kent, England, known for its commuter links to London and surrounding rural setting.
-
E.
Middlebrook
Middlebrook is a large retail, leisure, and business complex near Bolton in Greater Manchester, England, that includes shops, restaurants, offices, and the University of Bolton Stadium.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891352ac8190ad3d669fea1c9fbb |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.