Triple
T38054081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirima National Park |
E949850
|
entity |
| Predicate | hasCarpark |
P1708
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Mirima National Park, hasCarpark, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCarpark Context triple: [Mirima National Park, hasCarpark, yes]
-
A.
hasParkingFor
Indicates that a place or facility provides designated parking spaces suitable for a specified type of vehicle or user.
-
B.
hasParking
chosen
Indicates that a place or facility provides designated parking space(s) available for use.
-
C.
hasOnscreenParkingLot
Indicates that an entity features or includes a parking lot that is visible or present on screen.
-
D.
hasParkingNearby
Indicates that a location has one or more parking facilities or spaces available within a close surrounding area.
-
E.
hasAccessibleParking
Indicates that a place or facility provides parking spaces that are accessible to people with disabilities.
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a0041860fd081908623ef9fd40a9775 |
completed | May 10, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_6a00414b01488190a312adb3b25d69cf |
completed | May 10, 2026, 8:26 a.m. |
Created at: May 3, 2026, 4:20 p.m.