Triple
T25693266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vadakalai |
E644252
|
entity |
| Predicate | languageEmphasis |
P124544
|
FINISHED |
| Object | greater emphasis on Sanskrit than Tamil |
—
|
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: greater emphasis on Sanskrit than Tamil | Statement: [Vadakalai, languageEmphasis, greater emphasis on Sanskrit than Tamil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageEmphasis Context triple: [Vadakalai, languageEmphasis, greater emphasis on Sanskrit than Tamil]
-
A.
languageEmphasizes
chosen
Indicates that one language or linguistic system places particular focus, importance, or prominence on a specific feature, concept, or element compared to others.
-
B.
hasEmphasis
Indicates that one element is given special stress, importance, or prominence relative to others.
-
C.
languageNote
Indicates a note or comment providing additional information or clarification about the language used or associated with an entity or resource.
-
D.
languageTension
Indicates a relationship where differing languages or language use create conflict, strain, or friction between entities.
-
E.
languageSubject
Indicates that a particular language is the subject or topic being studied, discussed, or otherwise focused on in relation to another 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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 21, 2026, 8:31 p.m.