Triple
T15081758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byodo-In Temple |
E360162
|
entity |
| Predicate | hasBuddhaStatueHeight |
P1724
|
FINISHED |
| Object | approximately 18 feet |
—
|
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 18 feet | Statement: [Byodo-In Temple, hasBuddhaStatueHeight, approximately 18 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuddhaStatueHeight Context triple: [Byodo-In Temple, hasBuddhaStatueHeight, approximately 18 feet]
-
A.
statueHeight
chosen
Indicates the height measurement of a statue in some specified unit.
-
B.
centralStupaHeight
Indicates the height measurement of the central stupa in a given structure or site.
-
C.
eastPagodaHeight
Indicates that the relationship concerns the height measurement or height-related attribute of the east pagoda.
-
D.
hasStatue
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
-
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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027450a48190a84588b6aaf84ebf |
completed | April 15, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:03 a.m.