Triple
T30491689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tahōtō pagoda |
E775882
|
entity |
| Predicate | upperStoryShape |
P170233
|
FINISHED |
| Object | cylindrical |
—
|
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: cylindrical | Statement: [Tahōtō pagoda, upperStoryShape, cylindrical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upperStoryShape Context triple: [Tahōtō pagoda, upperStoryShape, cylindrical]
-
A.
upperSectionType
Indicates the type or category assigned to the upper section or upper part of an object, structure, or entity.
-
B.
upperComponent
Indicates that one component is positioned above or on top of another component within a larger structure or assembly.
-
C.
upperLevels
Indicates that one entity occupies or corresponds to higher levels, tiers, or hierarchical positions relative to another entity.
-
D.
upperCourseOf
Indicates that one watercourse represents the upstream or higher-elevation segment of another watercourse within the same river system.
-
E.
upperStation
Indicates that one station is positioned higher or upstream in a system or hierarchy relative to another station.
- 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_69f22497f91c8190afa7165bc900accd |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b121eac81909e90416207bc1157 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68a160374819084d720985f800dfc |
completed | May 2, 2026, 11:34 p.m. |
Created at: April 29, 2026, 8:13 p.m.