Triple
T12163194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vredenburgkade |
E289760
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Vredenburg area |
E954416
|
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: Vredenburg area | Statement: [Vredenburgkade, partOf, Vredenburg area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vredenburg area Context triple: [Vredenburgkade, partOf, Vredenburg area]
-
A.
Vredenburg
Vredenburg is a town on South Africa’s West Coast that serves as a regional commercial and service hub near Saldanha Bay.
-
B.
Vredenburg
chosen
Vredenburg is a former name of the Muziekcentrum Vredenburg, a prominent concert and music venue in Utrecht, Netherlands.
-
C.
Drusberg area
The Drusberg area is a mountainous region in the Swiss Alps known for its rugged terrain and alpine landscapes.
-
D.
Oudezijds Kolk area
The Oudezijds Kolk area is a historic canal-side quarter in Amsterdam’s old city center, known for its narrow waterways, centuries-old buildings, and proximity to the Red Light District.
-
E.
Zeeburg district
Zeeburg district is a former borough in the eastern part of Amsterdam, Netherlands, known for its mix of historic harbor areas and modern residential developments.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c498a081908389598d0c247505 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a0baf0819094e90b7e92b979d4 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.