Triple
T6441145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Het Lieverdje |
E138226
|
entity |
| Predicate | locatedAt |
P40
|
FINISHED |
| Object | Spui square |
E593895
|
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: Spui square | Statement: [Het Lieverdje, locatedAt, Spui square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spui square Context triple: [Het Lieverdje, locatedAt, 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.
Leidseplein
Leidseplein is a lively square in central Amsterdam known for its theaters, nightlife, street performers, and numerous cafés and restaurants.
-
D.
Molengracht Plaza
Molengracht Plaza is a Dutch-inspired town square and commercial district in Pella, Iowa, featuring canals, shops, and community gathering spaces.
-
E.
Rogier Square
Rogier Square is a major public square and transport hub in central Brussels, known for its modern architecture, offices, hotels, and proximity to key shopping and business districts.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06968c6a88190a623da9bd3152a66 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65390257c819097706c35b3aebc8e |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:46 p.m.