Triple
T12575287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | วัดอรุณราชวรารามราชวรมหาวิหาร |
E300189
|
entity |
| Predicate | ได้รับการขึ้นทะเบียน |
P105501
|
FINISHED |
| Object | โบราณสถานของชาติไทย |
—
|
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: โบราณสถานของชาติไทย | Statement: [วัดอรุณราชวรารามราชวรมหาวิหาร, ได้รับการขึ้นทะเบียน, โบราณสถานของชาติไทย]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ได้รับการขึ้นทะเบียน Context triple: [วัดอรุณราชวรารามราชวรมหาวิหาร, ได้รับการขึ้นทะเบียน, โบราณสถานของชาติไทย]
-
A.
officialRegisterOf
Indicates that one entity serves as the authoritative, formally maintained record or registry for another entity.
-
B.
statusRegister
Indicates that an entity maintains or exposes a register reflecting its current status or condition.
-
C.
hasRegister
Indicates that one entity possesses, contains, or is associated with a specific register (such as a record, log, or hardware register).
-
D.
statusWordRegister
Indicates the level of formality or social register associated with a status-related word in language use.
-
E.
inscriptionStatus
Indicates the current state or condition of an inscription, such as whether it has been created, verified, updated, or removed.
- 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_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. |
| PDg | Predicate description generation | batch_69d9550af6d48190a40e349ed0424be3 |
completed | April 10, 2026, 7:52 p.m. |
Created at: April 9, 2026, 4:46 p.m.