Triple
T14340562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N62 |
E355587
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Borssele |
—
|
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: Borssele | Statement: [N62, passesNear, Borssele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borssele Context triple: [N62, passesNear, Borssele]
-
A.
Borssele
chosen
Borssele is a village in the Dutch province of Zeeland best known for hosting the Netherlands’ only commercial nuclear power plant.
-
B.
Brouwershaven
Brouwershaven is a small historic town in the Dutch province of Zeeland, known for its maritime heritage and well-preserved old center.
-
C.
Buitendijk
Buitendijk is a Dutch surname borne by individuals such as academic leader Simone Buitendijk.
-
D.
Nieuwendam
Nieuwendam is a historic neighborhood in the northern part of Amsterdam, known for its former village character and waterfront location along the IJ.
-
E.
Alblasserdam
Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8674c0819091dfbe9c50778c5e |
completed | April 14, 2026, 6:59 p.m. |
Created at: April 10, 2026, 1:14 a.m.