Triple
T12019394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyle |
E286107
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Dijle (Dutch) |
E525569
|
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: Dijle (Dutch) | Statement: [Dyle, hasNameInLanguage, Dijle (Dutch)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dijle (Dutch) Context triple: [Dyle, hasNameInLanguage, Dijle (Dutch)]
-
A.
Dijle
chosen
The Dijle is a river in central Belgium that flows through cities such as Leuven and Mechelen before joining other waterways that ultimately form part of the Rhine–Meuse river system.
-
B.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
C.
Schipbeek
Schipbeek is a small river in the eastern Netherlands that flows through the provinces of Overijssel and Gelderland before joining the IJssel.
-
D.
Drecht
Drecht is a lesser-known Dutch river whose waters help form the Amstel through their confluence.
-
E.
Maasbracht
Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903dabf2c819084dcaa05ae0a6018 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b53cd08819084a9335449844f12 |
completed | May 1, 2026, 11:15 a.m. |
Created at: April 8, 2026, 9:47 p.m.