Triple
T20262177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warche River |
E498866
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Malmedy |
—
|
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: Malmedy | Statement: [Warche River, nearbySettlement, Malmedy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malmedy Context triple: [Warche River, nearbySettlement, Malmedy]
-
A.
Malmedy
chosen
Malmedy is a historic town and municipality in eastern Belgium, known for its Ardennes setting, traditional carnival, and proximity to the Battle of the Bulge sites.
-
B.
Marcinelle
Marcinelle is a district of Charleroi in Wallonia, Belgium, historically known as a coal-mining community and the site of the 1956 Bois du Cazier mining disaster.
-
C.
Wytschaete
Wytschaete is a village in West Flanders, Belgium, that was a strategically important position on the Western Front during World War I.
-
D.
Moensberg
Moensberg is a residential neighborhood in the municipality of Uccle in the Brussels-Capital Region of Belgium.
-
E.
Blegny
Blegny is a municipality in eastern Belgium known for its historic coal mining heritage and rural character.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674cba2748190a886ecd8316dc518 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.