Triple
T8098509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de La Hulpe |
E189045
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Solvay Park |
E710732
|
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: Solvay Park | Statement: [Château de La Hulpe, hasPark, Solvay Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solvay Park Context triple: [Château de La Hulpe, hasPark, Solvay Park]
-
A.
Solvay Park
chosen
Solvay Park is a large historic estate and landscaped park near La Hulpe in Belgium, known for its château, woodlands, and scenic walking paths.
-
B.
Brussels Park
Brussels Park is a historic public garden in central Brussels, Belgium, known for its formal layout, statues, and role as a major green space between key royal and governmental buildings.
-
C.
Parc Central
Parc Central is a major contemporary shopping and lifestyle complex in Guangzhou’s Tianhe District, featuring international retail brands, dining, and entertainment.
-
D.
Parc Léopold
Parc Léopold is a historic public park in Brussels, Belgium, known for its landscaped grounds, ponds, and proximity to major European Union institutions.
-
E.
Turnure Park
Turnure Park is a public neighborhood park in White Plains, New York, offering green space, playgrounds, and recreational areas for local residents.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4294b73481908c8373b8eca0f608 |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9407df3481908353e8468b49e6bc |
completed | April 1, 2026, 3:42 a.m. |
Created at: March 30, 2026, 5:30 p.m.