Triple
T6342134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Halle-Vilvoorde |
E142651
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Drogenbos |
E265435
|
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: Drogenbos | Statement: [Arrondissement of Halle-Vilvoorde, hasMunicipality, Drogenbos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drogenbos Context triple: [Arrondissement of Halle-Vilvoorde, hasMunicipality, Drogenbos]
-
A.
Drogenbos
chosen
Drogenbos is a small municipality in the Flemish Brabant province of Belgium, located just southwest of Brussels.
-
B.
Bogoso
Bogoso is a mining town in southwestern Ghana known for its significant gold deposits and related industrial activities.
-
C.
Bulphan
Bulphan is a small village and civil parish in the borough of Thurrock in Essex, England.
-
D.
Rasta Vechta
Rasta Vechta is a professional basketball club from Vechta, Germany, known for competing in the country’s top leagues and developing a passionate local fan base.
-
E.
Kamieskroon
Kamieskroon is a small town in South Africa’s Northern Cape, known as a gateway to the wildflower displays and rugged landscapes of the Namaqualand region.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0674445748190bce2d638048be77c |
completed | March 22, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6043afb4081908d480ad868625909 |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.