Triple
T13893885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nieuwmarkt metro station |
E334038
|
entity |
| Predicate | hasEntrance |
P6140
|
FINISHED |
| Object | Sint Antoniesbreestraat |
E1073614
|
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: Sint Antoniesbreestraat | Statement: [Nieuwmarkt metro station, hasEntrance, Sint Antoniesbreestraat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sint Antoniesbreestraat Context triple: [Nieuwmarkt metro station, hasEntrance, Sint Antoniesbreestraat]
-
A.
Sint Antoniesbreestraat
chosen
Sint Antoniesbreestraat is a historic street in central Amsterdam known for its mix of old architecture, cultural landmarks, and proximity to the Nieuwmarkt area.
-
B.
Wibautstraat
Wibautstraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
C.
Vlamingstraat
Vlamingstraat is a central street in Bruges, Belgium, known for its historic buildings, shops, and proximity to the city’s main square, the Markt.
-
D.
Kalverstraat
Kalverstraat is one of Amsterdam’s busiest and most famous shopping streets, known for its dense concentration of retail stores and central location.
-
E.
Valckenierstraat
Valckenierstraat is a street in Amsterdam, Netherlands, located near the University of Amsterdam’s Roeterseiland Campus.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a741908190bdf46d76c5f1411a |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb649c12c819086e85d1dc49624f1 |
completed | May 7, 2026, 3:56 p.m. |
Created at: April 9, 2026, 10:15 p.m.