Triple
T11625635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domplein Utrecht |
E276260
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Korte Nieuwstraat |
E300274
|
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: Korte Nieuwstraat | Statement: [Domplein Utrecht, near, Korte Nieuwstraat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korte Nieuwstraat Context triple: [Domplein Utrecht, near, Korte Nieuwstraat]
-
A.
Korte Nieuwstraat
chosen
Korte Nieuwstraat is a historic street in the center of Utrecht, Netherlands, located just off the city’s prominent Dom Square.
-
B.
Vijzelstraat
Vijzelstraat is a major street in central Amsterdam, Netherlands, running between the city’s historic canals and serving as an important traffic and commercial route.
-
C.
Schupstraat
Schupstraat is a prominent street in Antwerp’s Diamond District, known for its dense concentration of diamond shops and related businesses.
-
D.
Marnixstraat
Marnixstraat is a major street in central Amsterdam known for its tram lines, bus station, and proximity to popular areas like Leidseplein and the Jordaan.
-
E.
Reguliersbreestraat
Reguliersbreestraat is a well-known shopping and nightlife street in central Amsterdam, noted for its cinemas, bars, and vibrant 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a12416908190ac2dcd7f7ebb308f |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef82a205f08190b1c0e856fdeece11 |
completed | April 27, 2026, 3:37 p.m. |
Created at: April 8, 2026, 9:39 p.m.