Triple
T8098767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyle river basin |
E189052
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Wavre |
E152779
|
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: Wavre | Statement: [Dyle river basin, containsSettlement, Wavre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wavre Context triple: [Dyle river basin, containsSettlement, Wavre]
-
A.
Wavre
chosen
Wavre is a town in central Belgium that serves as the capital of Walloon Brabant and is known for hosting the Walibi Belgium amusement park.
-
B.
Nivelles
Nivelles is a historic town in present-day Belgium known for its medieval architecture, including the Romanesque Collegiate Church of Saint Gertrude.
-
C.
Boudry
Boudry is a municipality in the canton of Neuchâtel in western Switzerland, known as a historic town near Lake Neuchâtel.
-
D.
Verviers
Verviers is a city in eastern Belgium known historically for its textile industry and as a regional center in the province of Liège.
-
E.
Binche
Binche is a historic town in the Walloon region of Belgium, renowned for its well-preserved medieval architecture and its UNESCO-recognized Carnival of Binche.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42961ad4819085d023427fc5ac5f |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc0d1e148190a6c5043e681ee136 |
completed | April 2, 2026, 8:05 p.m. |
Created at: March 30, 2026, 5:30 p.m.