Triple
T4201238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dender |
E86069
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Geraardsbergen |
E330048
|
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: Geraardsbergen | Statement: [Dender, flowsThrough, Geraardsbergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geraardsbergen Context triple: [Dender, flowsThrough, Geraardsbergen]
-
A.
Geraardsbergen
chosen
Geraardsbergen is a historic city in East Flanders, Belgium, known for its steep Muur van Geraardsbergen climb and traditional mattentaart pastries.
-
B.
Breskens
Breskens is a coastal town in the southwest of the Netherlands, known for its fishing harbor, North Sea beaches, and ferry connection across the Western Scheldt.
-
C.
Roeselare
Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
-
D.
Zottegem
Zottegem is a city and municipality in East Flanders, Belgium, known for its historic center and its role as a regular feature in Flemish cycling races.
-
E.
St. Truiden
St. Truiden is a historic Belgian city in the Limburg region, known for its medieval architecture and fruit-growing countryside.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af037da30481908106b27a88d59140 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfeceaa8b08190943f7b4291c8bf28 |
completed | March 22, 2026, 1:21 p.m. |
Created at: March 9, 2026, 3:49 p.m.