Triple
T22512208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silo District |
E556547
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | De Waterkant |
—
|
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: De Waterkant | Statement: [Silo District, near, De Waterkant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Waterkant Context triple: [Silo District, near, De Waterkant]
-
A.
De Waterkant
chosen
De Waterkant is a trendy, historic neighborhood in Cape Town known for its cobbled streets, colorful cottages, and vibrant café and nightlife scene.
-
B.
De Koperwiek
De Koperwiek is a major shopping center in Capelle aan den IJssel, Netherlands, featuring a variety of retail stores, services, and dining options.
-
C.
Gedempte Gracht
Gedempte Gracht is a central shopping street in Zaandam, Netherlands, known for its variety of retail stores and pedestrian-friendly layout.
-
D.
De Sluis
De Sluis is a small settlement in the Dutch province of Zeeland, located within the municipality of Tholen.
-
E.
De Waterstad
De Waterstad is a residential neighborhood in the Dutch municipality of Hellevoetsluis, known for its waterside location and modern housing.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d61a27881909faed490d2b65f39 |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.