Triple
T21835895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Affligem Abbey |
E539118
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Affligem |
—
|
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: Affligem | Statement: [Affligem Abbey, locatedIn, Affligem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Affligem Context triple: [Affligem Abbey, locatedIn, Affligem]
-
A.
Affligem
chosen
Affligem is a historic Belgian abbey beer brand known for its traditional brewing heritage and distinctive ales.
-
B.
Fernelmont
Fernelmont is a rural municipality in the province of Namur in Wallonia, Belgium, known for its agricultural landscape and small villages.
-
C.
Avelgem
Avelgem is a municipality in the Belgian province of West Flanders, known for its rural character and location along the river Scheldt.
-
D.
Dentergem
Dentergem is a municipality in the Belgian province of West Flanders.
-
E.
Bornem
Bornem is a municipality in the Belgian province of Antwerp, known for its historic abbey and location along the River Scheldt.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a7c368819094e0c4548be30798 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.