Triple
T12575307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | วัดอรุณราชวรารามราชวรมหาวิหาร |
E300189
|
entity |
| Predicate | เกี่ยวข้องกับยุคประวัติศาสตร์ |
P41036
|
FINISHED |
| Object | สมัยกรุงธนบุรี |
—
|
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: สมัยกรุงธนบุรี | Statement: [วัดอรุณราชวรารามราชวรมหาวิหาร, เกี่ยวข้องกับยุคประวัติศาสตร์, สมัยกรุงธนบุรี]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: เกี่ยวข้องกับยุคประวัติศาสตร์ Context triple: [วัดอรุณราชวรารามราชวรมหาวิหาร, เกี่ยวข้องกับยุคประวัติศาสตร์, สมัยกรุงธนบุรี]
-
A.
locatedInHistoricPeriod
chosen
Indicates that an entity exists, occurs, or is situated within a specific historic period or era.
-
B.
involvesChronology
Indicates that the relationship or action explicitly depends on, references, or organizes events according to their order or position in time.
-
C.
partOfHistoryOf
Indicates that one entity forms a component, episode, or contributing element within the historical development or narrative of another entity.
-
D.
historicallyEncompassed
Indicates that one entity previously included, covered, or contained another entity within its scope, extent, or boundaries during a past historical period.
-
E.
historicalField
Indicates that one entity’s field of study, work, or relevance is situated within the historical domain or concerns past events.
- 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.