Triple
T261358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hague |
E5547
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object | Scheveningen beach |
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 beach | Statement: [The Hague, hasBeach, Scheveningen beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scheveningen beach Context triple: [The Hague, hasBeach, Scheveningen beach]
-
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.
Veendam
Veendam is a town and municipality in the province of Groningen in the northeastern Netherlands, historically known for peat extraction and later for its industrial development.
-
C.
Harlem Meer
Harlem Meer is a picturesque man-made lake and surrounding landscape located at the northeast corner of Central Park in New York City.
-
D.
Grevelingen
Grevelingen is a large saltwater lake and former estuary in the southwestern Netherlands, known for its nature reserves, water sports, and role in the Delta Works coastal defense system.
-
E.
Brecqhou
Brecqhou is a small, privately owned island off the coast of Sark in the English Channel, known for its exclusive residence and limited public access.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d7428dc8190ae12b12a21fcc6cb |
completed | Feb. 28, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5089817248190b53d78e5b937026b |
completed | March 2, 2026, 3:48 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.