Triple
T35902679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wat Si Chum |
E1038393
|
entity |
| Predicate | buddhaImageHeight |
P120194
|
FINISHED |
| Object | approximately 15 meters |
—
|
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: approximately 15 meters | Statement: [Wat Si Chum, buddhaImageHeight, approximately 15 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buddhaImageHeight Context triple: [Wat Si Chum, buddhaImageHeight, approximately 15 meters]
-
A.
statueHeight
Indicates the height measurement of a statue in some specified unit.
-
B.
heightOfFigure
chosen
Indicates the measurement of how tall a figure is, typically from its base to its highest point.
-
C.
centralStupaHeight
Indicates the height measurement of the central stupa in a given structure or site.
-
D.
originalHeight
Indicates the initial or starting height of an entity before any change, adjustment, or transformation occurs.
-
E.
templeDimensions
Indicates the measured size or proportions of a temple, such as its length, width, height, or overall spatial layout.
- 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.