Triple
T37937310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six Yogas of Naropa |
E946381
|
entity |
| Predicate | languageOfEarlyTransmission |
P54680
|
FINISHED |
| Object | Tibetan |
—
|
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: Tibetan | Statement: [Six Yogas of Naropa, languageOfEarlyTransmission, Tibetan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfEarlyTransmission Context triple: [Six Yogas of Naropa, languageOfEarlyTransmission, Tibetan]
-
A.
languageOfTransmission
chosen
Indicates the language used to convey or transmit the content or information in a given communication or resource.
-
B.
laterLanguageOfDissemination
Indicates that one language was used to disseminate or publish a work at a later time than another language associated with the same work.
-
C.
languageOfEarliestForm
Indicates the language in which the earliest known form or attested version of something (e.g., a text, name, or expression) is recorded.
-
D.
languageOfAdoption
Indicates the language in which an adoption (e.g., of a text, standard, or practice) is formally made or recorded.
-
E.
languageOfEarlyDevelopment
Indicates that a specified language is used during the initial or formative stages of an entity’s development.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01c51e2d088190b9dcce5b6de1cb9b |
completed | May 11, 2026, 12:01 p.m. |
| PD | Predicate disambiguation | batch_6a01c4c715a48190b7435de8a9d86fd4 |
completed | May 11, 2026, noon |
Created at: May 3, 2026, 4:20 p.m.