Triple
T2030244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brussels Park |
E44498
|
entity |
| Predicate | isMajorGreenSpaceFor |
P24454
|
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: [Brussels Park, isMajorGreenSpaceFor, central Brussels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorGreenSpaceFor Context triple: [Brussels Park, isMajorGreenSpaceFor, central Brussels]
-
A.
isGreenSpaceFor
chosen
Indicates that one entity serves as a designated green or open space intended for use or benefit by another entity.
-
B.
hasNearbyGreenSpace
Indicates that an entity is located close to an area of green space, such as a park, garden, or natural vegetation.
-
C.
isUrbanForest
Indicates that an area of trees and vegetation is located within or closely integrated with an urban or suburban environment.
-
D.
hasMajorSanctuary
Indicates that an entity possesses or is associated with a primary or principal sanctuary location.
-
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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb914a40081909a937689bea3dc85 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a656248190ac2ced196b35bc6b |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.