Triple
T9804869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kleine-Brogel Air Base |
E237929
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kleine-Brogel |
E832522
|
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: Kleine-Brogel | Statement: [Kleine-Brogel Air Base, locatedIn, Kleine-Brogel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleine-Brogel Context triple: [Kleine-Brogel Air Base, locatedIn, Kleine-Brogel]
-
A.
Kleine-Brogel
chosen
Kleine-Brogel is a village in the municipality of Peer in the Belgian province of Limburg, known for hosting a major military air base.
-
B.
Bellebeek
Bellebeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
-
C.
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.
-
D.
Diepenbeek
Diepenbeek is a municipality in the Belgian province of Limburg, known for its blend of residential areas, industry, and the campus of Hasselt University.
-
E.
Edegem
Edegem is a municipality in the Belgian province of Antwerp, known as a residential suburb south of the city of Antwerp.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7a0ce881908f0555d194dece3f |
completed | April 1, 2026, 11:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d269b54d04819096ddc9f16a6db17b |
completed | April 5, 2026, 1:55 p.m. |
Created at: March 30, 2026, 8:29 p.m.