Triple
T14159957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jette |
E350909
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Berchem-Sainte-Agathe |
E534792
|
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: Berchem-Sainte-Agathe | Statement: [Jette, hasNeighbour, Berchem-Sainte-Agathe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berchem-Sainte-Agathe Context triple: [Jette, hasNeighbour, Berchem-Sainte-Agathe]
-
A.
Berchem-Sainte-Agathe
chosen
Berchem-Sainte-Agathe is a small, predominantly residential municipality in the Brussels-Capital Region of Belgium.
-
B.
Berchem
Berchem is a district of the Belgian city of Antwerp, known for its residential neighborhoods, Art Nouveau architecture, and vibrant local culture.
-
C.
Mont-Saint-Martin
Mont-Saint-Martin is a commune in northeastern France notable for lying at the junction of the French, Belgian, and Luxembourgish borders.
-
D.
Ecaussinnes
Ecaussinnes is a municipality in the province of Hainaut in Wallonia, Belgium, known for its historic castles and annual folklore festivals.
-
E.
Erquelinnes
Erquelinnes is a municipality in the province of Hainaut in Wallonia, Belgium, located near the French border along the Sambre River.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61393f308190bb357e2bd1916f94 |
completed | April 14, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f166988190a96d01fb4bd1438e |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:59 a.m.