Triple
T32424576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 三井寺 |
E828543
|
entity |
| Predicate | 宗派上の地位 |
P5046
|
FINISHED |
| Object | 天台寺門宗総本山 |
—
|
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: 天台寺門宗総本山 | Statement: [三井寺, 宗派上の地位, 天台寺門宗総本山]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 宗派上の地位 Context triple: [三井寺, 宗派上の地位, 天台寺門宗総本山]
-
A.
ecclesiasticalRank
chosen
Indicates the hierarchical religious office or clerical status that one entity holds within a church or ecclesiastical organization.
-
B.
rankInRomanCatholicChurch
Indicates that one entity holds a specific hierarchical or clerical position within the structure of the Roman Catholic Church in relation to another entity.
-
C.
titularyPosition
Indicates that one entity holds a formal or ceremonial title or position in relation to another entity.
-
D.
rankInPapalOrders
Indicates the relative hierarchical position or level an entity holds within the structure of papal orders.
-
E.
hasSecularRank
Indicates that one entity holds a specific position or level within a non-religious (secular) hierarchy relative to another entity.
- 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_69f3491b28bc8190b75cea7a507f337b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c286ac288190843dac21651babd0 |
completed | May 3, 2026, 3:35 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:54 a.m.