Triple
T13048505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Condroz |
E327385
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Orp-Jauche |
E698486
|
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: Orp-Jauche | Statement: [Condroz, containsSettlement, Orp-Jauche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orp-Jauche Context triple: [Condroz, containsSettlement, Orp-Jauche]
-
A.
Orp-Jauche
chosen
Orp-Jauche is a municipality in the Belgian province of Walloon Brabant, known for its rural character and location in the French-speaking Walloon Region.
-
B.
Bierges
Bierges is a village in Walloon Brabant, Belgium, that forms part of the municipality of Wavre.
-
C.
Scharloo
Scharloo is a historic neighborhood in Willemstad, Curaçao, known for its well-preserved colonial architecture and former Jewish merchant mansions.
-
D.
Ketsch
Ketsch is a municipality in the Rhine-Neckar region of southwestern Germany, located in the state of Baden-Württemberg.
-
E.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980b8811c81908577f092e2736610 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd8f1308190992c0bd832e1b05e |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:57 p.m.