Triple
T3753333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nieuwkoop |
E81382
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Bodegraven-Reeuwijk |
E210967
|
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: Bodegraven-Reeuwijk | Statement: [Nieuwkoop, borderedBy, Bodegraven-Reeuwijk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bodegraven-Reeuwijk Context triple: [Nieuwkoop, borderedBy, Bodegraven-Reeuwijk]
-
A.
Bodegraven-Reeuwijk
chosen
Bodegraven-Reeuwijk is a Dutch municipality known for its rural landscapes, waterways, and cheese-producing heritage in the western Netherlands.
-
B.
Voorhout
Voorhout is a village in South Holland, Netherlands, that forms part of the municipality of Teylingen.
-
C.
Barendrecht
Barendrecht is a suburban town in the western Netherlands, located just south of Rotterdam and known for its residential character and logistics industry.
-
D.
Leidschendam-Voorburg
Leidschendam-Voorburg is a municipality in the western Netherlands, near The Hague, formed by the towns of Leidschendam and Voorburg.
-
E.
Noordwijkerhout
Noordwijkerhout is a town in South Holland, Netherlands, known for its bulb flower fields and role in the Dutch "Dune and Bulb Region."
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb9340e0819083215989718b4598 |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05422b25c819098189ac202c20123 |
completed | April 3, 2026, 11:58 p.m. |
Created at: March 8, 2026, 3:35 p.m.