Triple
T26514372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | राष्ट्रवादी काँग्रेस पक्ष |
E669771
|
entity |
| Predicate | कार्य_भाषा |
P18404
|
FINISHED |
| Object | हिंदी |
—
|
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: हिंदी | Statement: [राष्ट्रवादी काँग्रेस पक्ष, कार्य_भाषा, हिंदी]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: कार्य_भाषा Context triple: [राष्ट्रवादी काँग्रेस पक्ष, कार्य_भाषा, हिंदी]
-
A.
lenguaDeTrabajo
Indicates that something functions as a working language used for communication in a specific context or setting.
-
B.
لغة_الأعمال
Indicates a relationship where something is expressed, conducted, or communicated using the language of business (لغة الأعمال).
-
C.
languageOfOperation
Indicates the language in which an entity (such as a system, service, or process) primarily operates or functions.
-
D.
workLanguageVariant
Indicates that one language variant of a work is related to another version of the same work, typically differing by language or localization.
-
E.
isWorkingLanguageOf
chosen
Indicates that a particular language is officially used as a medium of work, communication, or operation within a specified organization, institution, or context.
- 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61394b50c81909e628b2e5b1aa3d5 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 1:22 a.m.