Triple
T21785439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beek |
E537822
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Beek (village) |
—
|
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: Beek (village) | Statement: [Beek, hasSettlement, Beek (village)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beek (village) Context triple: [Beek, hasSettlement, Beek (village)]
-
A.
Beek
Beek is a small municipality in the Dutch province of Limburg, known for hosting Maastricht Aachen Airport and its convenient location near the borders with Belgium and Germany.
-
B.
Beek
chosen
Beek is a village in the Dutch province of Gelderland, known for its scenic location near the hills and forests of the Nijmegen area.
-
C.
village of Klarenbeek
The village of Klarenbeek is a small rural community in the eastern Netherlands, known for its wooded surroundings and location between the cities of Apeldoorn and Zutphen.
-
D.
Vlezenbeek
Vlezenbeek is a village in the Flemish Brabant province of Belgium, known for its rural character and proximity to Brussels.
-
E.
village of Vledderveen
The village of Vledderveen is a small rural settlement in the Dutch municipality of Westerveld in the province of Drenthe.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f04630f4f08190910b9e499a4249ca |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.