Triple
T12575324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | วัดอรุณ |
E300190
|
entity |
| Predicate | มีพระปรางค์ประธานสูงประมาณ |
P101199
|
FINISHED |
| Object | ประมาณ 79 เมตร |
—
|
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: ประมาณ 79 เมตร | Statement: [วัดอรุณ, มีพระปรางค์ประธานสูงประมาณ, ประมาณ 79 เมตร]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: มีพระปรางค์ประธานสูงประมาณ Context triple: [วัดอรุณ, มีพระปรางค์ประธานสูงประมาณ, ประมาณ 79 เมตร]
-
A.
eastPagodaHeight
Indicates that the relationship concerns the height measurement or height-related attribute of the east pagoda.
-
B.
centralStupaHeight
chosen
Indicates the height measurement of the central stupa in a given structure or site.
-
C.
hasMinaretHeightApprox
Indicates that an entity has a minaret whose height is approximately a specified value, allowing for some margin of imprecision.
-
D.
highestPillarApproximateHeight
Indicates the estimated height value of the tallest pillar in a given context or structure.
-
E.
approximateHeightOfTallestStructure
Indicates the estimated height value associated with the tallest structure in a given context or set.
- 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.