Triple
T20581868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lys (Leie) |
E505676
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Sint-Martens-Latem |
—
|
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: Sint-Martens-Latem | Statement: [Lys (Leie), flowsThrough, Sint-Martens-Latem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sint-Martens-Latem Context triple: [Lys (Leie), flowsThrough, Sint-Martens-Latem]
-
A.
Sint-Martens-Latem
chosen
Sint-Martens-Latem is a wealthy, picturesque municipality in East Flanders, Belgium, renowned for its artistic heritage and scenic setting along the River Lys.
-
B.
Sint-Martens-Leerne
Sint-Martens-Leerne is a village in East Flanders, Belgium, known as a rural residential community within the municipality of Deinze.
-
C.
Bornem
Bornem is a municipality in the Belgian province of Antwerp, known for its historic abbey and location along the River Scheldt.
-
D.
Dentergem
Dentergem is a municipality in the Belgian province of West Flanders.
-
E.
Stavelot
Stavelot is a historic town in the Ardennes region of Wallonia, Belgium, known for its former Benedictine abbey and traditional Laetare carnival.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90f7e34819086b1745dcd53ba25 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:40 a.m.