Triple
T11092373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paisaci Prakrit |
E262286
|
entity |
| Predicate | linguisticDocumentation |
P43659
|
FINISHED |
| Object | mainly grammatical descriptions |
—
|
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: mainly grammatical descriptions | Statement: [Paisaci Prakrit, linguisticDocumentation, mainly grammatical descriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticDocumentation Context triple: [Paisaci Prakrit, linguisticDocumentation, mainly grammatical descriptions]
-
A.
hasLinguisticDocumentation
chosen
Indicates that there exists recorded linguistic information or documentation about the language or linguistic properties of the subject.
-
B.
linguisticField
Indicates that something pertains to or is associated with a particular area or subdiscipline within linguistics.
-
C.
languageOfDocumentation
Indicates the language in which the documentation for an entity is written or provided.
-
D.
linguisticContribution
Indicates that one entity provides or constitutes a meaningful addition to language use, such as information, expression, or structure, within a communicative context.
-
E.
linguisticType
Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799ec6564819097624195d0cd9093 |
completed | April 9, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_69d744185a5881909ba4cf151d1798ec |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.