Triple
T15399567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byakue Kannon statue |
E368273
|
entity |
| Predicate | hasInteriorShrines |
P114896
|
FINISHED |
| Object | multiple Buddhist images |
—
|
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: multiple Buddhist images | Statement: [Byakue Kannon statue, hasInteriorShrines, multiple Buddhist images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInteriorShrines Context triple: [Byakue Kannon statue, hasInteriorShrines, multiple Buddhist images]
-
A.
hasInnerShrine
Indicates that one entity contains or includes another entity that functions as an inner shrine within it.
-
B.
hasShrinesIn
Indicates that one entity possesses or maintains shrines that are located within the area or domain of another entity.
-
C.
containsShrine
chosen
Indicates that one entity includes or has within its boundaries a shrine associated with it.
-
D.
enshrines
Indicates that one entity formally preserves, protects, or honors another by giving it a permanent, often sacred or legally recognized, status.
-
E.
hasMajorShrine
Indicates that one entity serves as a principal or primary shrine dedicated to another entity.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8d89e08190b7cae778d89fb5e1 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.