Triple
T5704653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Languages of India |
E125754
|
entity |
| Predicate | hasClassicalLanguage |
P65683
|
FINISHED |
| Object | Sanskrit |
—
|
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: Sanskrit | Statement: [Languages of India, hasClassicalLanguage, Sanskrit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClassicalLanguage Context triple: [Languages of India, hasClassicalLanguage, Sanskrit]
-
A.
mainClassicalLanguage
Indicates the primary classical (historically foundational) language associated with an entity, such as a text, culture, or scholarly tradition.
-
B.
recognizedAsClassicalLanguageBy
Indicates that an entity is acknowledged or designated by a specified authority or source as a classical language.
-
C.
includesMajorLanguageFamily
Indicates that one entity encompasses, contains, or is associated with a major language family as part of its scope or classification.
-
D.
linguisticClassification
Indicates the relationship by which an entity is categorized according to its language or linguistic type.
-
E.
isInLanguageFamily
Indicates that a language belongs to, or is classified within, a particular language family based on shared linguistic ancestry or characteristics.
- F. None of above. chosen
Provenance (4 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024585d14819098ec34fd5a858836 |
completed | March 22, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c023dfec6881909ee6189b874b4348 |
completed | March 22, 2026, 5:16 p.m. |
Created at: March 22, 2026, 3:45 p.m.