Triple
T2030219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brussels Park |
E44498
|
entity |
| Predicate | hasNameInDutch |
P13254
|
FINISHED |
| Object | Warandepark |
E224634
|
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: Warandepark | Statement: [Brussels Park, hasNameInDutch, Warandepark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warandepark Context triple: [Brussels Park, hasNameInDutch, Warandepark]
-
A.
Warandepark
chosen
Warandepark is a historic public park in central Brussels, Belgium, known for its formal layout, statues, and proximity to key government and royal buildings.
-
B.
Sorghvliet park
Sorghvliet park is a historic green park in The Hague, Netherlands, known for its landscaped grounds and proximity to important government residences.
-
C.
Hanssenspark
Hanssenspark is a public park in Vilvoorde, Belgium, known as one of the town’s main green recreational areas.
-
D.
Kollen Park
Kollen Park is a popular waterfront public park in Holland, Michigan, known for its scenic views of Lake Macatawa, walking paths, and community events.
-
E.
Tivoli Park
Tivoli Park is the largest and most famous public park in Ljubljana, Slovenia, known for its landscaped gardens, walking paths, and cultural venues.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb914a40081909a937689bea3dc85 |
completed | March 7, 2026, 5:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae304cc62c81909d152ee6ae543d7e |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 4, 2026, 7:38 p.m.