Triple
T23161413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhode-Saint-Genèse |
E578594
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Drogenbos |
—
|
NE NERFINISHED |
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: [Rhode-Saint-Genèse, borderedBy, Drogenbos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drogenbos Context triple: [Rhode-Saint-Genèse, borderedBy, Drogenbos]
-
A.
Drogenbos
chosen
Drogenbos is a small municipality in the Flemish Brabant province of Belgium, located just southwest of Brussels.
-
B.
Dabok
Dabok is a locality near Udaipur in Rajasthan, India, known primarily for hosting Maharana Pratap Airport, the main air gateway to the region.
-
C.
Bosha
Bosha is an alternative name for the Lom people, a Romani-related ethnic group primarily found in the Caucasus region.
-
D.
Steenwerck
Steenwerck is a commune in northern France’s Nord department, known for its rural character and location near the Belgian border.
-
E.
Bogoso
Bogoso is a mining town in southwestern Ghana known for its significant gold deposits and related industrial activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f006930819097aafef87405d737 |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:02 p.m.