Triple
T35221669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rokuon-ji |
E1016973
|
entity |
| Predicate | convertedToTempleBy |
P40135
|
FINISHED |
| Object | Ashikaga Yoshimitsu |
—
|
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: Ashikaga Yoshimitsu | Statement: [Rokuon-ji, convertedToTempleBy, Ashikaga Yoshimitsu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToTempleBy Context triple: [Rokuon-ji, convertedToTempleBy, Ashikaga Yoshimitsu]
-
A.
convertedToTempleAfter
Indicates that a structure or place was transformed from its original use into a temple at a later time.
-
B.
convertedToTemple
chosen
Indicates that something has been transformed, repurposed, or officially designated to function as a temple.
-
C.
hasRelocatedTemple
Indicates that a temple has been moved from its original location to a new site.
-
D.
hadTempleDedicatedTo
Indicates that a temple was formally dedicated in honor of, or for the worship of, a particular entity.
-
E.
hasTempleOf
Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
- 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_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:02 p.m.