Triple
T6141633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Flanders |
E136974
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Aalst |
E527486
|
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: Aalst | Statement: [East Flanders, hasMunicipality, Aalst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aalst Context triple: [East Flanders, hasMunicipality, Aalst]
-
A.
Aalst
chosen
Aalst is a historic city in the Belgian province of East Flanders, known for its textile industry and famous annual carnival.
-
B.
Izegem
Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
-
C.
Roeselare
Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
-
D.
Hasselt
Hasselt is a historic small city in the Dutch province of Overijssel, known for its medieval center and canals.
-
E.
Hasselt
Hasselt is a city in northeastern Belgium that serves as the capital of the province of Limburg in the Flemish region.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb2404c8190bbbfa78d5f49389f |
completed | March 22, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84ece7e2881909da0e81ccf8c4eb4 |
completed | March 28, 2026, 9:57 p.m. |
Created at: March 22, 2026, 4:16 p.m.