Triple
T4199608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddy Merckx |
E86034
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Meensel-Kiezegem, Belgium |
E96002
|
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: Meensel-Kiezegem, Belgium | Statement: [Eddy Merckx, placeOfBirth, Meensel-Kiezegem, Belgium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meensel-Kiezegem, Belgium Context triple: [Eddy Merckx, placeOfBirth, Meensel-Kiezegem, Belgium]
-
A.
La Hulpe, Belgium
La Hulpe is a small municipality in Walloon Brabant, Belgium, known for hosting the headquarters of the global financial messaging network SWIFT and for its nearby Solvay Castle and park.
-
B.
Deinze, Belgium
Deinze is a small city in East Flanders, Belgium, known for its location along the River Leie and its blend of historical architecture and rural surroundings.
-
C.
Meensel-Kiezegem
chosen
Meensel-Kiezegem is a small village in Flemish Brabant, Belgium, best known as the birthplace of legendary cyclist Eddy Merckx.
-
D.
Roeselare
Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
-
E.
Mons, Belgium
Mons, Belgium is a historic city in the Wallonia region that serves as a key military and administrative hub, notably hosting major NATO institutions.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af036243b4819097efe6b796823cd9 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5962296b8819084b91de3f48b7658 |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 9, 2026, 3:49 p.m.