Triple
T7738473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam Metro line 54 |
E175442
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Waterlooplein |
E194082
|
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: Waterlooplein | Statement: [Amsterdam Metro line 54, hasStation, Waterlooplein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waterlooplein Context triple: [Amsterdam Metro line 54, hasStation, Waterlooplein]
-
A.
Waterlooplein square
chosen
Waterlooplein square is a central square in Amsterdam best known for its historic daily flea market and proximity to major cultural and civic buildings.
-
B.
Leidseplein
Leidseplein is a lively square in central Amsterdam known for its theaters, nightlife, street performers, and numerous cafés and restaurants.
-
C.
Luxemburgplein
Luxemburgplein is a prominent square in Brussels, Belgium, located near the European Parliament and known as a hub for political and social gatherings.
-
D.
Rembrandtplein
Rembrandtplein is a lively central square in Amsterdam known for its vibrant nightlife, cafés, and statue of the painter Rembrandt van Rijn.
-
E.
Koningsplein
Koningsplein is a central square in Amsterdam known for its proximity to major canals, shopping streets, and the historic city center.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7035bcd94819080d5553e602e6c61 |
completed | March 27, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be3db6a481909750c13f9141b84b |
completed | March 29, 2026, 5:53 a.m. |
Created at: March 27, 2026, 4:07 p.m.