Triple
T20553531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N237 road |
E504657
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | De Bilt |
—
|
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: De Bilt | Statement: [N237 road, connects, De Bilt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Bilt Context triple: [N237 road, connects, 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 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.
-
C.
Bowling Green
Bowling Green is a small historic town in eastern Virginia that serves as the administrative and commercial center of Caroline County.
-
D.
Udelny Park
Udelny Park is a large urban green space in Saint Petersburg, Russia, known for its wooded areas, walking paths, and recreational facilities.
-
E.
Colegrove
Colegrove is the named petitioner in the U.S. Supreme Court case Colegrove v. Green, which addressed issues of legislative apportionment and political representation.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5db052c8190801e53f6148113c8 |
completed | April 20, 2026, 10:16 p.m. |
Created at: April 16, 2026, 11:38 a.m.