Triple
T16642514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To-ji |
E404376
|
entity |
| Predicate | fiveStoryPagodaHeight |
P94397
|
FINISHED |
| Object | approximately 55 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 55 meters | Statement: [To-ji, fiveStoryPagodaHeight, approximately 55 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fiveStoryPagodaHeight Context triple: [To-ji, fiveStoryPagodaHeight, approximately 55 meters]
-
A.
hasFiveStoryPagoda
chosen
Indicates that an entity possesses or includes a pagoda structure specifically consisting of five stories.
-
B.
eastPagodaHeight
Indicates that the relationship concerns the height measurement or height-related attribute of the east pagoda.
-
C.
centralStupaHeight
Indicates the height measurement of the central stupa in a given structure or site.
-
D.
numberOfPagodasInPagodaForest
Indicates the numerical count of pagodas that are present within a given pagoda forest.
-
E.
storeysOfTallestTower
Indicates the number of storeys contained in the tallest tower associated with the given context or 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_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. |
Created at: April 10, 2026, 5:18 a.m.