Triple
T16728765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天台宗 |
E406530
|
entity |
| Predicate | 本山 |
P124405
|
FINISHED |
| Object | 比叡山延暦寺 |
—
|
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: 比叡山延暦寺 | Statement: [天台宗, 本山, 比叡山延暦寺]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 本山 Context triple: [天台宗, 本山, 比叡山延暦寺]
-
A.
holyMountain
Indicates that a mountain is regarded as sacred or religiously significant within a particular belief system or tradition.
-
B.
parentMountain
Indicates that one mountain is considered the larger or primary "parent" from which another, related "child" mountain is derived or associated.
-
C.
prominenceRelativeToKibo
Indicates how prominent or noticeable one entity is in comparison to Kibo.
-
D.
ichinomiya
Indicates a relationship where a location or institution holds the status of "Ichinomiya," the primary or highest-ranking Shinto shrine of a historical province.
-
E.
Wang Ben
Indicates a relationship or action involving an entity named "Wang Ben," such as authorship, participation, or association, depending on the specific context in which the predicate is used.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38749baa48190892b2e2b978f6eb6 |
completed | April 18, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:20 a.m.