Triple
T7502857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoeterwoude |
E177307
|
entity |
| Predicate | hasPopulationCenter |
P2106
|
FINISHED |
| Object | Zoeterwoude-Rijndijk |
E177307
|
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: Zoeterwoude-Rijndijk | Statement: [Zoeterwoude, hasPopulationCenter, Zoeterwoude-Rijndijk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoeterwoude-Rijndijk Context triple: [Zoeterwoude, hasPopulationCenter, Zoeterwoude-Rijndijk]
-
A.
Bodegraven-Reeuwijk
Bodegraven-Reeuwijk is a Dutch municipality known for its rural landscapes, waterways, and cheese-producing heritage in the western Netherlands.
-
B.
Zoeterwoude
chosen
Zoeterwoude is a small Dutch municipality and village known for its rural character and location near Leiden in the province of South Holland.
-
C.
Hazerswoude-Rijndijk
Hazerswoude-Rijndijk is a village in the Dutch province of South Holland, located in the municipality of Alphen aan den Rijn.
-
D.
Oosterhout
Oosterhout is a town and municipality in the southern Netherlands known for its historic monasteries and proximity to the city of Breda.
-
E.
Nieuwendijk
Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f59be2748190ad8e94179f594e51 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84608021481908ce58a131d75188b |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:44 p.m.