Triple
T13543983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilthoven |
E323463
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | De Bilt |
E323463
|
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: De Bilt | Statement: [Bilthoven, partOf, De Bilt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Bilt Context triple: [Bilthoven, partOf, De Bilt]
-
A.
De Bilt
chosen
De Bilt is a Dutch municipality and town in the central Netherlands, known for hosting the headquarters of the Royal Netherlands Meteorological Institute (KNMI).
-
B.
Bowling Green
Bowling Green is a small historic town in eastern Virginia that serves as the administrative and commercial center of Caroline County.
-
C.
Bowling Green
Bowling Green is a small public park and historic site in Lower Manhattan, New York City, known as the city’s oldest park and for its proximity to the Financial District and Wall Street.
-
D.
Byerly Park
Byerly Park is a large multi-purpose recreational complex in Hartsville, South Carolina, featuring sports fields, walking trails, and community facilities.
-
E.
Adair Park
Adair Park is a public green space in Fountain City, Tennessee, known for its recreational facilities and community gatherings.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafda36248190acabde65a88c5471 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bae316081909e048ead31a9575a |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.