Triple
T11273118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benoordenhout |
E266862
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Clingendael Park |
E916231
|
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: Clingendael Park | Statement: [Benoordenhout, borderedBy, Clingendael Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clingendael Park Context triple: [Benoordenhout, borderedBy, Clingendael Park]
-
A.
Clingendael Park
chosen
Clingendael Park is a historic estate and landscaped park in The Hague, Netherlands, known for its scenic gardens including a renowned Japanese garden.
-
B.
Willemspark
Willemspark is an affluent, leafy residential neighborhood in Amsterdam known for its elegant townhouses and proximity to Vondelpark.
-
C.
Haarlemmerhout park
Haarlemmerhout park is a historic public park in Haarlem, Netherlands, known as one of the country’s oldest parks and for housing the neoclassical Villa Welgelegen.
-
D.
Overhoekspark
Overhoekspark is a modern urban green space in Amsterdam’s Overhoeks district, offering landscaped areas, waterfront views, and recreational facilities near the IJ river.
-
E.
Oosterpark
Oosterpark is a large public park in Amsterdam known for its ponds, walking paths, cultural monuments, and diverse, lively atmosphere.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e965c9048190804ebb48f0a4817b |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5258cc5208190be268ac6a82c9419 |
completed | April 19, 2026, 6:57 p.m. |
Created at: April 8, 2026, 9:31 p.m.