Triple
T30491690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tahōtō pagoda |
E775882
|
entity |
| Predicate | lowerStoryShape |
P112329
|
FINISHED |
| Object | square |
—
|
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: square | Statement: [Tahōtō pagoda, lowerStoryShape, square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerStoryShape Context triple: [Tahōtō pagoda, lowerStoryShape, square]
-
A.
lowerStage
Indicates that one entity is at a lower or earlier stage, level, or phase in a progression or hierarchy than another entity.
-
B.
lowFloor
Indicates that something has a floor positioned close to ground level, allowing easy, step-free access.
-
C.
lowerLocation
Indicates that one entity is located physically below or at a lower vertical position relative to another entity.
-
D.
lowerSectionType
chosen
Indicates the specific type or category assigned to the lower section of an object, structure, or entity in a larger whole.
-
E.
lowerTierHeight
Indicates the vertical measurement or elevation of the lower tier in a multi-level structure relative to a reference level.
- 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_69f22497f91c8190afa7165bc900accd |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68749698c8190bca5e3501e053eb7 |
completed | May 2, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:13 p.m.