Triple
T12575290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | วัดอรุณราชวรารามราชวรมหาวิหาร |
E300189
|
entity |
| Predicate | ยุคเริ่มก่อสร้างเดิม |
P22153
|
FINISHED |
| Object | สมัยกรุงศรีอยุธยา |
—
|
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: สมัยกรุงศรีอยุธยา | Statement: [วัดอรุณราชวรารามราชวรมหาวิหาร, ยุคเริ่มก่อสร้างเดิม, สมัยกรุงศรีอยุธยา]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ยุคเริ่มก่อสร้างเดิม Context triple: [วัดอรุณราชวรารามราชวรมหาวิหาร, ยุคเริ่มก่อสร้างเดิม, สมัยกรุงศรีอยุธยา]
-
A.
originalBuildingConstructed
Indicates that a particular building was initially constructed in its original form or configuration.
-
B.
buildPeriodStart
Indicates the point in time when a construction or building process begins.
-
C.
eraOfMajorConstruction
chosen
Indicates the time period during which the primary or most significant phase of construction for an entity took place.
-
D.
predecessorBuildingDate
Indicates that one building’s construction date precedes that of another building in a temporal sequence.
-
E.
earliestConstructionAttributedTo
Indicates that one entity is recognized as the earliest known construction project or built work attributed to another entity (such as a person, group, or organization).
- 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.