Triple
T12889044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bütgenbach Lake |
E308309
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Bütgenbach |
E58777
|
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: Bütgenbach | Statement: [Bütgenbach Lake, locatedIn, Bütgenbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bütgenbach Context triple: [Bütgenbach Lake, locatedIn, Bütgenbach]
-
A.
Bütgenbach
chosen
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
-
B.
Buizingen
Buizingen is a village and suburb of Halle in Flemish Brabant, Belgium, known in part for the 2010 train collision that occurred near its railway station.
-
C.
Ottignies
Ottignies is a town in central Belgium, in Walloon Brabant, known as a regional transport hub on the rail route between Brussels and Namur.
-
D.
Grevenmacher
Grevenmacher is a town in eastern Luxembourg on the Moselle River, known as a regional wine-producing center and an important crossing point on the Germany–Luxembourg border.
-
E.
Moensberg
Moensberg is a residential neighborhood in the municipality of Uccle in the Brussels-Capital Region of Belgium.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714581988190afc720ffd7797860 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f72e950819082326a8f84a8a260 |
completed | May 3, 2026, 5:01 p.m. |
Created at: April 9, 2026, 5:39 p.m.