Triple
T37733359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Asian Buddhism |
E940218
|
entity |
| Predicate | majorLanguageOfTexts |
P188313
|
FINISHED |
| Object | Gandhari |
—
|
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: Gandhari | Statement: [Central Asian Buddhism, majorLanguageOfTexts, Gandhari]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorLanguageOfTexts Context triple: [Central Asian Buddhism, majorLanguageOfTexts, Gandhari]
-
A.
shareMajorLanguage
Indicates that the entities have at least one primary or major language in common.
-
B.
mainLanguageOf
chosen
Indicates that a specified language is the primary or dominant language used by a particular entity (such as a person, document, or organization).
-
C.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
-
D.
majorStandardLanguage
Indicates that a language is the primary or most widely used standard language associated with an entity (such as a country, region, or group).
-
E.
typicalLanguages
Indicates the languages that are commonly or characteristically used, spoken, or associated with a given 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0018cf6ebc8190aee6288788d0067e |
completed | May 10, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_6a001855e8588190a65840485473cf8b |
completed | May 10, 2026, 5:32 a.m. |
Created at: May 3, 2026, 4:18 p.m.