Triple
T17851534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue Belliard |
E445816
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Parc Leopold |
—
|
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: Parc Leopold | Statement: [Rue Belliard, nearby, Parc Leopold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parc Leopold Context triple: [Rue Belliard, nearby, Parc Leopold]
-
A.
Parc Léopold
chosen
Parc Léopold is a historic public park in Brussels, Belgium, known for its landscaped grounds, ponds, and proximity to major European Union institutions.
-
B.
Boisseranc Park
Boisseranc Park is a public recreational park located in the city of Buena Park in Southern California.
-
C.
Neuland-Park
Neuland-Park is a landscaped public park in Leverkusen, Germany, known for its riverside setting, recreational facilities, and role as a green urban oasis.
-
D.
Leopold Park
Leopold Park is a historic public park in Brussels known for its landscaped gardens, ponds, and proximity to major European Union institutions.
-
E.
Leopold Park
Leopold Park is a public green space and leisure park in the Belgian coastal city of Ostend, known for its landscaped gardens, ponds, and recreational facilities.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48fff6c288190a2b5e60b66c03ddc |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:17 a.m.