Triple
T16728804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天台宗 |
E406530
|
entity |
| Predicate | 宗派言語 |
P124406
|
FINISHED |
| Object | 日本語 |
—
|
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: 日本語 | Statement: [天台宗, 宗派言語, 日本語]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 宗派言語 Context triple: [天台宗, 宗派言語, 日本語]
-
A.
laterLanguageOfMonks
Indicates that one language is the later historical language used by a community of monks relative to another language they previously used.
-
B.
linguisticSubgroup
Indicates that one linguistic group forms a subordinate or specialized subset within a larger linguistic group or family.
-
C.
governingLanguageTradition
Indicates that one language tradition holds authoritative or regulatory influence over another in terms of norms, standards, or accepted practices.
-
D.
vernacularGroup
Indicates a relationship where entities are grouped or associated based on sharing the same vernacular (local or commonly spoken) language.
-
E.
languageFamilyBranchOf
Indicates that one language family branch is a sub-group or subdivision within a larger language family.
- 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.