Triple
T22662582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geerten Meijsing |
E559701
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | De grachtengordel |
—
|
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 grachtengordel | Statement: [Geerten Meijsing, notableWork, De grachtengordel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De grachtengordel Context triple: [Geerten Meijsing, notableWork, De grachtengordel]
-
A.
Gedempte Gracht
Gedempte Gracht is a central shopping street in Zaandam, Netherlands, known for its variety of retail stores and pedestrian-friendly layout.
-
B.
De Waterkant
De Waterkant is a trendy, historic neighborhood in Cape Town known for its cobbled streets, colorful cottages, and vibrant café and nightlife scene.
-
C.
Gedempte Begijnensloot
Gedempte Begijnensloot is a small street or alley in central Amsterdam that serves as one of the entrances to the historic Begijnhof courtyard.
-
D.
De Akkers
De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
-
E.
Negen Straatjes
chosen
Negen Straatjes is a picturesque shopping and dining district in Amsterdam’s historic canal belt, known for its narrow streets, boutique stores, and charming 17th-century architecture.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17660c0c88190bed9fa8f6517eec4 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:08 p.m.