Triple
T20581867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lys (Leie) |
E505676
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Deûlémont |
—
|
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: Deûlémont | Statement: [Lys (Leie), flowsThrough, Deûlémont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deûlémont Context triple: [Lys (Leie), flowsThrough, Deûlémont]
-
A.
Deûlémont
chosen
Deûlémont is a commune in northern France’s Nord department, situated near the Belgian border in the Hauts-de-France region.
-
B.
Blanchimont
Blanchimont is a famously fast, sweeping left-hand corner at Belgium’s Circuit de Spa-Francorchamps, known for its high-speed challenge and minimal runoff.
-
C.
Fernelmont
Fernelmont is a rural municipality in the province of Namur in Wallonia, Belgium, known for its agricultural landscape and small villages.
-
D.
Destelbergen
Destelbergen is a municipality in the Belgian province of East Flanders, located just east of the city of Ghent.
-
E.
Kevelaer
Kevelaer is a renowned German pilgrimage town in North Rhine-Westphalia, famous as one of Europe’s most important Marian shrines and a major destination for Catholic pilgrims.
- 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.