Triple
T22436931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Het Lieverdje |
E554649
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Spui square |
—
|
NE NERFINISHED |
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: Spui square | Statement: [Het Lieverdje, location, Spui square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spui square Context triple: [Het Lieverdje, location, Spui square]
-
A.
Spui square
chosen
Spui square is a central public square in Amsterdam known for its book markets, cultural venues, and proximity to historic sites like the Begijnhof.
-
B.
Vredenburg square
Vredenburg square is a central public square in the Dutch city of Utrecht, known as a major hub for shopping, events, and public transport.
-
C.
Vrijthof square
Vrijthof square is the central and most famous square in Maastricht, known for its historic churches, lively cafés, and frequent cultural events and festivals.
-
D.
Muntplein square
Muntplein square is a central Amsterdam square known as a busy traffic hub and gateway between the city’s historic center and the flower market area.
-
E.
Roode Steen square
Roode Steen square is a historic central square in the Dutch city of Hoorn, known for its traditional architecture, markets, and prominent surrounding monuments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ade60508190b0100d5c2843b920 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 16, 2026, 8:47 p.m.