Triple
T10139491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parc Royal |
E226943
|
entity |
| Predicate | isMainPublicParkOf |
P59551
|
FINISHED |
| Object | central Brussels |
—
|
LITERAL 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: central Brussels | Statement: [Parc Royal, isMainPublicParkOf, central Brussels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainPublicParkOf Context triple: [Parc Royal, isMainPublicParkOf, central Brussels]
-
A.
isLargestParkOf
Indicates that a park is the largest park within a specified area, region, or administrative entity.
-
B.
isLargestUrbanParkIn
Indicates that one entity is the largest urban park within the boundaries or context of another specified entity (such as a city or region).
-
C.
isPublicParkComponent
Indicates that something is a constituent element or feature that forms part of a public park.
-
D.
isCentralParkOf
chosen
Indicates that a location serves as the primary or central park for a specified area, city, or region.
-
E.
isUrbanPark
Indicates that a location is designated and used as a public park within an urban or metropolitan area.
- F. None of above.
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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cde8851844819092330e74561b7e34 |
completed | April 2, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:06 p.m.