Triple
T11110505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welkenraedt |
E262741
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Raeren |
E258135
|
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: Raeren | Statement: [Welkenraedt, sharesBorderWith, Raeren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raeren Context triple: [Welkenraedt, sharesBorderWith, Raeren]
-
A.
Raeren
chosen
Raeren is a municipality in eastern Belgium known for its German-speaking population and historical stoneware pottery tradition.
-
B.
Braine-l'Alleud
Braine-l'Alleud is a municipality in Walloon Brabant, Belgium, known for encompassing much of the historic Waterloo battlefield.
-
C.
Vandoeuvres
Vandoeuvres is a small, affluent residential municipality located near the city of Geneva in western Switzerland.
-
D.
Gosselies
Gosselies is a district of the city of Charleroi in Wallonia, Belgium, known for its proximity to Brussels South Charleroi Airport and its industrial and aeronautical activities.
-
E.
Mont-Saint-Guibert
Mont-Saint-Guibert is a municipality in the province of Walloon Brabant in the French-speaking Walloon 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a6964508190b679303d3b3a4fd6 |
completed | April 9, 2026, 12:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ace2228c8190936757f5b1eaa1eb |
completed | April 19, 2026, 10:22 a.m. |
Created at: April 8, 2026, 9:27 p.m.