Triple
T33669518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of South Asian Studies |
E862577
|
entity |
| Predicate | languageInstruction |
P134689
|
FINISHED |
| Object | Hindi |
—
|
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: Hindi | Statement: [Department of South Asian Studies, languageInstruction, Hindi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageInstruction Context triple: [Department of South Asian Studies, languageInstruction, Hindi]
-
A.
languageOfInstructions
chosen
Indicates that one entity specifies the language in which instructions or guidance are provided for another entity.
-
B.
languageNote
Indicates a note or comment providing additional information or clarification about the language used or associated with an entity or resource.
-
C.
languageSubject
Indicates that a particular language is the subject or topic being studied, discussed, or otherwise focused on in relation to another entity.
-
D.
languageUse
Indicates the language or languages an entity uses for communication, expression, or interaction.
-
E.
languageSpecifies
Indicates that one entity defines or constrains the syntax, semantics, or usage rules that govern how another language or linguistic system is expressed or interpreted.
- 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a002dd4066c8190945a09ed82f44f3f |
completed | May 10, 2026, 7:03 a.m. |
| PD | Predicate disambiguation | batch_6a002b141f4081909999e14988105f3a |
completed | May 10, 2026, 6:52 a.m. |
Created at: May 1, 2026, 1:42 a.m.