Triple
T12575346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | วัดอรุณ |
E300190
|
entity |
| Predicate | มีพระปรางค์ |
P32932
|
FINISHED |
| Object | เป็นสัญลักษณ์ที่ใช้ในสื่อประชาสัมพันธ์การท่องเที่ยวไทย |
—
|
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: เป็นสัญลักษณ์ที่ใช้ในสื่อประชาสัมพันธ์การท่องเที่ยวไทย | Statement: [วัดอรุณ, มีพระปรางค์, เป็นสัญลักษณ์ที่ใช้ในสื่อประชาสัมพันธ์การท่องเที่ยวไทย]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: มีพระปรางค์ Context triple: [วัดอรุณ, มีพระปรางค์, เป็นสัญลักษณ์ที่ใช้ในสื่อประชาสัมพันธ์การท่องเที่ยวไทย]
-
A.
hasTempleOf
Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
-
B.
hasPagoda
chosen
Indicates that one entity possesses, contains, or is characterized by the presence of a pagoda.
-
C.
hasNotableTemple
Indicates that an entity is associated with a temple that is recognized as particularly important, famous, or significant.
-
D.
hasFiveStoryPagoda
Indicates that an entity possesses or includes a pagoda structure specifically consisting of five stories.
-
E.
hasPronaos
Indicates that a structure includes or is characterized by a pronaos, i.e., a front porch or vestibule area preceding the main interior 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_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.