Triple
T25125974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | fountain of Manduševac |
E629393
|
entity |
| Predicate | openArea |
P78910
|
FINISHED |
| Object | outdoor |
—
|
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: outdoor | Statement: [fountain of Manduševac, openArea, outdoor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openArea Context triple: [fountain of Manduševac, openArea, outdoor]
-
A.
openSpaceType
Indicates the type or category of an open space associated with an entity (e.g., park, plaza, courtyard).
-
B.
isOpenSpace
chosen
Indicates that a given area or location is an unobstructed, accessible space rather than an enclosed or confined one.
-
C.
isOpenSpaceOf
Indicates that one entity is an open, unobstructed area that belongs to, is part of, or is designated for use by another entity.
-
D.
coveredArea
Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
-
E.
isUrbanOpenSpace
Indicates that a given area functions as an open, publicly accessible space within an urban environment.
- 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_69e2ff3288048190bd82c3b7f7bd0e62 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f465d05fd88190ab12b009d369bab2 |
completed | May 1, 2026, 8:35 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:28 a.m.