Triple
T23149782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asten |
E578290
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Meijel |
—
|
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: Meijel | Statement: [Asten, locatedNear, Meijel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meijel Context triple: [Asten, locatedNear, Meijel]
-
A.
Meijel
chosen
Meijel is a village in the Dutch province of Limburg, known for its proximity to the peat bog landscapes and birdlife of De Groote Peel National Park.
-
B.
Oirschot
Oirschot is a historic municipality and town in the Dutch province of North Brabant, known for its well-preserved medieval center and cultural heritage.
-
C.
Saasveld
Saasveld is a small village in the Dutch province of Overijssel, known for its rural character and historic church.
-
D.
Viljoen
Viljoen is an Afrikaans-origin surname commonly found in South Africa and Namibia, associated with several notable figures in politics, sports, and the military.
-
E.
Vandamm
Vandamm is a surname, often a variant spelling of "van Damm," associated with various individuals in arts, entertainment, and other fields.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ed0b76c8190ac61b949d88e9970 |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4:01 p.m.