Triple
T35221656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rokuon-ji |
E1016973
|
entity |
| Predicate | subsect |
P3120
|
FINISHED |
| Object | Shōkoku-ji school of Rinzai Zen |
—
|
NE NERFINISHED |
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: Shōkoku-ji school of Rinzai Zen | Statement: [Rokuon-ji, subsect, Shōkoku-ji school of Rinzai Zen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsect Context triple: [Rokuon-ji, subsect, Shōkoku-ji school of Rinzai Zen]
-
A.
majorSubsect
Indicates that one group, movement, or tradition is a principal or primary subdivision within a larger religious, ideological, or organizational entity.
-
B.
subtheme
Indicates that one topic or concept functions as a more specific, subordinate theme within a broader overarching theme.
-
C.
section
chosen
Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
-
D.
minorSector
Indicates that one sector is a subordinate or less significant subdivision within a larger, primary sector.
-
E.
subMode
Indicates a more specific or subordinate mode that falls under or refines a broader, parent mode within a hierarchy of modes.
- 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_69f76de072908190ab65038a8a7b6a79 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.