Triple
T10824758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scheveningseweg |
E255467
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Scheveningen |
E71726
|
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: Scheveningen | Statement: [Scheveningseweg, connects, Scheveningen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scheveningen Context triple: [Scheveningseweg, connects, Scheveningen]
-
A.
Scheveningen
chosen
Scheveningen is a popular seaside resort district of The Hague in the Netherlands, known for its long sandy beach, pier, and promenade along the North Sea coast.
-
B.
Katwijk
Katwijk is a coastal town and municipality in the western Netherlands known for its North Sea beaches and historic fishing heritage.
-
C.
Noordwijk
Noordwijk is a coastal town in the western Netherlands known for its North Sea beaches, flower bulb fields, and the nearby European Space Agency’s ESTEC facility.
-
D.
Bleiswijk
Bleiswijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the municipality of Lansingerland.
-
E.
Hellevoetsluis
Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d0389c819090a892693c4046ed |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0cf61108190a15ab76454fc0d75 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 8, 2026, 9:19 p.m.