Triple
T12575294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | วัดอรุณราชวรารามราชวรมหาวิหาร |
E300189
|
entity |
| Predicate | ได้รับการบูรณะใหญ่ |
P72514
|
FINISHED |
| Object | ช่วงปี พ.ศ. 2556–2558 |
—
|
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: ช่วงปี พ.ศ. 2556–2558 | Statement: [วัดอรุณราชวรารามราชวรมหาวิหาร, ได้รับการบูรณะใหญ่, ช่วงปี พ.ศ. 2556–2558]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ได้รับการบูรณะใหญ่ Context triple: [วัดอรุณราชวรารามราชวรมหาวิหาร, ได้รับการบูรณะใหญ่, ช่วงปี พ.ศ. 2556–2558]
-
A.
hasMajorReconstruction
chosen
Indicates that an entity has undergone a significant or extensive reconstruction or renovation.
-
B.
largelyRebuilt
Indicates that an entity has been substantially reconstructed or renovated, with most of its original structure replaced or significantly altered.
-
C.
hasReconstructionWork
Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
-
D.
significantRestoration
Indicates that an entity has undergone a major or substantial restoration effort that notably improves or returns it to a previous condition.
-
E.
haveReconstructionWork
Indicates that an entity is undergoing or is associated with reconstruction or restoration work.
- 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.