Triple
T20484957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willemsparkweg |
E502565
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Vondelpark |
—
|
NE NERFINISHED |
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: Vondelpark | Statement: [Willemsparkweg, near, Vondelpark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vondelpark Context triple: [Willemsparkweg, near, Vondelpark]
-
A.
Vondelpark
chosen
Vondelpark is Amsterdam’s largest and most famous urban park, known for its expansive green spaces, ponds, and cultural events.
-
B.
Friedrichspark
Friedrichspark is a park area in Mannheim, Germany, known historically for hosting the Eisstadion am Friedrichspark ice stadium and serving as a local recreational space.
-
C.
Kaiserpark
Kaiserpark is the landscaped park surrounding the Kaiservilla in Bad Ischl, Austria, known for its historic imperial gardens and scenic grounds.
-
D.
Schillerpark
Schillerpark is a historic public park in Berlin known for its expansive lawns, tree-lined paths, and role as a popular recreational area for local residents.
-
E.
Volkspark Prenzlauer Berg
Volkspark Prenzlauer Berg is a large public park in Berlin known for its landscaped hills, walking paths, and recreational green spaces.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b59ae2c8190bfa26a3f1e59b8d1 |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.