Triple
T29746454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chekka Chivantha Vaanam |
E752763
|
entity |
| Predicate | alternateLanguageVersionLanguage |
P123131
|
FINISHED |
| Object | Telugu |
—
|
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: Telugu | Statement: [Chekka Chivantha Vaanam, alternateLanguageVersionLanguage, Telugu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternateLanguageVersionLanguage Context triple: [Chekka Chivantha Vaanam, alternateLanguageVersionLanguage, Telugu]
-
A.
alternateLanguageName
Indicates that an entity has an additional name or label in a different language from its primary or default name.
-
B.
languageVariant
Indicates that one language is a variant, dialect, or localized form of another language.
-
C.
workLanguageVariant
chosen
Indicates that one language variant of a work is related to another version of the same work, typically differing by language or localization.
-
D.
primaryLanguageVersion
Indicates that one language version of a resource is designated as the main or default version among its language variants.
-
E.
officialLanguageVersion
Indicates that one language variant is the officially recognized form or version used for formal or administrative purposes in relation to another language 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_69f0d62b064081908c1ae61cd68fb139 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 28, 2026, 7:51 p.m.