Triple
T12485646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaymaklı |
E298424
|
entity |
| Predicate | levelsOpenToPublic |
P105248
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Kaymaklı, levelsOpenToPublic, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelsOpenToPublic Context triple: [Kaymaklı, levelsOpenToPublic, 4]
-
A.
openedForPublic
Indicates that something has been made accessible or available for use, entry, or participation by the general public.
-
B.
openedToPublicBy
Indicates that an entity was made accessible or available to the general public through the action or decision of another entity.
-
C.
openToPublicDuring
Indicates that something is accessible or available for use by the general public during a specified time period or schedule.
-
D.
hasPublicSpaces
Indicates that an entity includes or provides areas that are accessible and usable by the general public.
-
E.
notOpenToGeneralPublic
Indicates that access to the subject is restricted and not available to the general public.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94e87e0e88190bc49dcfe4954c7e0 |
completed | April 10, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:56 p.m.