Triple
T4957893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yakushi-ji |
E111330
|
entity |
| Predicate | eastPagodaHeight |
P59676
|
FINISHED |
| Object | approximately 34 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 34 meters | Statement: [Yakushi-ji, eastPagodaHeight, approximately 34 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eastPagodaHeight Context triple: [Yakushi-ji, eastPagodaHeight, approximately 34 meters]
-
A.
hasPagoda
Indicates that one entity possesses, contains, or is characterized by the presence of a pagoda.
-
B.
highestPillarApproximateHeight
Indicates the estimated height value of the tallest pillar in a given context or structure.
-
C.
heightWithPedestal
Indicates the total vertical measurement of an object including the height of its supporting pedestal.
-
D.
towerLocation
Indicates that a tower is located at, or associated with, a specific place or geographic location.
-
E.
statueHeight
Indicates the height measurement of a statue in some specified unit.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71d834c0819087f3faafdc9b4228 |
completed | March 20, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3beb008190852fd6150813b252 |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6d98dc88819083459a01d3e8fc45 |
completed | March 20, 2026, 3:54 p.m. |
Created at: March 20, 2026, 1:32 p.m.