Triple
T12826607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nieuwezijds Voorburgwal |
E306667
|
entity |
| Predicate | parallelTo |
P1868
|
FINISHED |
| Object | Spuistraat |
E305255
|
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: Spuistraat | Statement: [Nieuwezijds Voorburgwal, parallelTo, Spuistraat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spuistraat Context triple: [Nieuwezijds Voorburgwal, parallelTo, Spuistraat]
-
A.
Spuistraat
chosen
Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
-
B.
Stoofstraat
Stoofstraat is a small, historic street in central Brussels, Belgium, located near the famous Manneken Pis statue.
-
C.
Rijfstraat
Rijfstraat is a key street in Antwerp’s Diamond District, known for its concentration of diamond-related businesses and trade.
-
D.
Schupstraat
Schupstraat is a prominent street in Antwerp’s Diamond District, known for its dense concentration of diamond shops and related businesses.
-
E.
Hartenstraat
Hartenstraat is one of the small, picturesque shopping streets in Amsterdam’s historic Negen Straatjes (Nine Streets) district, known for its boutiques, cafés, and canal-side charm.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fae51608190a50970bd038359a5 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eac829ec8190bea8efdc93151aa0 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 5:33 p.m.