Triple
T12575347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | วัดอรุณ |
E300190
|
entity |
| Predicate | เปิดให้เข้าชม |
P18212
|
FINISHED |
| Object | ทุกวัน |
—
|
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: ทุกวัน | Statement: [วัดอรุณ, เปิดให้เข้าชม, ทุกวัน]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: เปิดให้เข้าชม Context triple: [วัดอรุณ, เปิดให้เข้าชม, ทุกวัน]
-
A.
tourOpened
Indicates that a tour has begun or been made available for participation or viewing.
-
B.
openedForPublic
chosen
Indicates that something has been made accessible or available for use, entry, or participation by the general public.
-
C.
hasOpenedFor
Indicates that one entity has performed or appeared as the opening act or preliminary participant for another entity, typically in an event or performance context.
-
D.
openingTo
Indicates that one entity serves as an entrance, access point, or passage leading into or toward another entity.
-
E.
openedAttraction
Indicates that an entity initiated the operation or public availability of an attraction at a specific time or event.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 4:46 p.m.