Triple
T2563204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shakyamuni Buddha |
E57288
|
entity |
| Predicate | languageOfEarlyTeachings |
P36232
|
FINISHED |
| Object | Magadhi-related Middle Indo-Aryan |
—
|
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: Magadhi-related Middle Indo-Aryan | Statement: [Shakyamuni Buddha, languageOfEarlyTeachings, Magadhi-related Middle Indo-Aryan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfEarlyTeachings Context triple: [Shakyamuni Buddha, languageOfEarlyTeachings, Magadhi-related Middle Indo-Aryan]
-
A.
languageOfTeachings
chosen
Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
-
B.
primaryLanguageOfInstruction
Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
-
C.
languageOfAdoption
Indicates the language in which an adoption (e.g., of a text, standard, or practice) is formally made or recorded.
-
D.
languageOfExpression
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
-
E.
parentLanguage
Indicates that one language is the ancestral or source language from which another language is derived or historically developed.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3374c648190a29b2cc209d66668 |
completed | March 7, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69abd0cc8d308190ae7aa32b8f5ae2e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.