Triple
T18880838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnsbury Square Gardens |
E461820
|
entity |
| Predicate | isOpenSpaceType |
P5611
|
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: [Barnsbury Square Gardens, isOpenSpaceType, neighbourhood park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOpenSpaceType Context triple: [Barnsbury Square Gardens, isOpenSpaceType, neighbourhood park]
-
A.
isOpenSpace
Indicates that a given area or location is an unobstructed, accessible space rather than an enclosed or confined one.
-
B.
isOpenSpaceOf
Indicates that one entity is an open, unobstructed area that belongs to, is part of, or is designated for use by another entity.
-
C.
openSpaceType
chosen
Indicates the type or category of an open space associated with an entity (e.g., park, plaza, courtyard).
-
D.
spaceType
Indicates the category or kind of physical or conceptual space associated with an entity.
-
E.
hasSpaceType
Indicates that one entity is associated with, or classified by, a particular type or category of space.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d133f08190a482e601c1866662 |
completed | April 20, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69e48d22dde8819093b1d963bd673365 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:57 a.m.