Triple
T31943032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanjūsangen-dō |
E815576
|
entity |
| Predicate | numberOfKannonStatues |
P203336
|
FINISHED |
| Object | 1001 |
—
|
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: 1001 | Statement: [Sanjūsangen-dō, numberOfKannonStatues, 1001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfKannonStatues Context triple: [Sanjūsangen-dō, numberOfKannonStatues, 1001]
-
A.
numberOfAmidaStatues
Indicates the count of Amida statues associated with a given entity or context.
-
B.
numberOfShrines
Indicates the total count of shrines associated with a given entity or context.
-
C.
guardianStatuesCount
Indicates the number of guardian statues associated with or present at a given entity or location.
-
D.
hasNumberOfKandas
Indicates the relationship specifying how many kandas (sections or books) are associated with a given entity.
-
E.
numberOfSculptures
Indicates the quantity of sculptures associated with a given entity or context.
- F. None of above. chosen
Provenance (4 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a016336c58081909c58c5772e6fb488 |
completed | May 11, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_6a0160f25d8081909a6aaa375e9850b0 |
completed | May 11, 2026, 4:54 a.m. |
| PDg | Predicate description generation | batch_6a0163359e588190ba365f65b2d86435 |
completed | May 11, 2026, 5:03 a.m. |
Created at: May 1, 2026, 12:06 a.m.