Triple
T4747517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grange Park |
E105396
|
entity |
| Predicate | isGreenSpaceType |
P58534
|
FINISHED |
| Object | neighbourhood park |
—
|
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: neighbourhood park | Statement: [Grange Park, isGreenSpaceType, neighbourhood park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGreenSpaceType Context triple: [Grange Park, isGreenSpaceType, neighbourhood park]
-
A.
isGreenSpaceFor
Indicates that one entity serves as a designated green or open space intended for use or benefit by another entity.
-
B.
hasGreenSpaces
Indicates that an entity includes or is associated with areas of vegetation or natural greenery, such as parks, gardens, or lawns.
-
C.
hasGreenType
Indicates that an entity possesses or is associated with a type classified as green.
-
D.
isUrbanOasisFor
Indicates a place serves as a refreshing, nature-rich retreat or sanctuary within an otherwise urban or heavily built-up environment for a given entity.
-
E.
hasNearbyGreenSpace
Indicates that an entity is located close to an area of green space, such as a park, garden, or natural vegetation.
- F. None of above. chosen
Provenance (4 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c567288190a420e6825ee72822 |
completed | March 20, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6424a1d08190ac1d5fc574dc1b55 |
completed | March 20, 2026, 3:13 p.m. |
Created at: March 20, 2026, 1:20 p.m.