Triple
T6548144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterlooplein metro station |
E151061
|
entity |
| Predicate | locatedUnder |
P10157
|
FINISHED |
| Object | Valkenburgerstraat |
E607107
|
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: Valkenburgerstraat | Statement: [Waterlooplein metro station, locatedUnder, Valkenburgerstraat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valkenburgerstraat Context triple: [Waterlooplein metro station, locatedUnder, Valkenburgerstraat]
-
A.
Valkenburgerstraat
chosen
Valkenburgerstraat is a street in central Amsterdam, Netherlands, located near the Waterlooplein area and served by the city’s metro network.
-
B.
Van Baerlestraat
Van Baerlestraat is a major street in Amsterdam known for running alongside the Museumplein and providing access to several prominent museums and cultural institutions.
-
C.
Wiertzstraat
Wiertzstraat is a street in Brussels, Belgium, located in the European Quarter near key European Union institutions.
-
D.
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.
-
E.
Domstraat
Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6adf132a88190af4553857a474ebd |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eed5afb88190aa4fdae9cda04c54 |
completed | March 27, 2026, 8:55 p.m. |
Created at: March 27, 2026, 1:51 p.m.