Triple
T2656667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senne |
E54627
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Grimbergen |
E149109
|
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: Grimbergen | Statement: [Senne, flowsThrough, Grimbergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grimbergen Context triple: [Senne, flowsThrough, Grimbergen]
-
A.
Grimbergen
chosen
Grimbergen is a municipality in the Flemish Brabant province of Belgium, known for its historic Norbertine abbey and the Grimbergen abbey beer.
-
B.
Amsterdam Amstel
Amsterdam Amstel is a major railway and metro station in Amsterdam that serves as an important transport hub connecting regional and local lines.
-
C.
Amstel
The Amstel is a river in the Netherlands that flows through Amsterdam and has given its name to the city and a well-known Dutch beer brand.
-
D.
Jopenkerk brewery
Jopenkerk brewery is a craft brewery and brewpub housed in a converted former church in Haarlem, the Netherlands, known for its specialty beers and distinctive setting.
-
E.
Grolsch
Grolsch is a Dutch brewery best known for its distinctive swing-top bottled beers and long-standing presence in the international beer market.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94ae2e881909399b3d58159aa29 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98d325ec819097d7f80a28343687 |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.