Triple
T16642516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To-ji |
E404376
|
entity |
| Predicate | fiveStoryPagodaCurrentStructureDate |
P123689
|
FINISHED |
| Object | 1644 |
—
|
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: 1644 | Statement: [To-ji, fiveStoryPagodaCurrentStructureDate, 1644]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fiveStoryPagodaCurrentStructureDate Context triple: [To-ji, fiveStoryPagodaCurrentStructureDate, 1644]
-
A.
hasFiveStoryPagoda
Indicates that an entity possesses or includes a pagoda structure specifically consisting of five stories.
-
B.
eastPagodaStatus
Indicates the current condition or state of the east pagoda in relation to the context or system being described.
-
C.
eastPagodaHeight
Indicates that the relationship concerns the height measurement or height-related attribute of the east pagoda.
-
D.
numberOfPagodasInPagodaForest
Indicates the numerical count of pagodas that are present within a given pagoda forest.
-
E.
hasPagoda
Indicates that one entity possesses, contains, or is characterized by the presence of a pagoda.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad27b5481908316b4f23fb8bc32 |
completed | April 18, 2026, 12:36 p.m. |
| PD | Predicate disambiguation | batch_69e296af2f88819092c9ffee4a65d7dd |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:18 a.m.