Triple
T725266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dravidian languages |
E14711
|
entity |
| Predicate | languageFamilySize |
P18669
|
FINISHED |
| Object | about 80 languages |
—
|
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: about 80 languages | Statement: [Dravidian languages, languageFamilySize, about 80 languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageFamilySize Context triple: [Dravidian languages, languageFamilySize, about 80 languages]
-
A.
languageFamily
Indicates that two or more languages belong to the same genealogical language family or linguistic lineage.
-
B.
languageFamilyStatus
Indicates the classification or recognition status of a language within a particular language family (e.g., primary, branch, extinct, or disputed).
-
C.
languageOfFamily
Indicates the language or languages commonly used or associated with a particular family.
-
D.
languageFamilyDominant
Indicates that one language family holds a primary or prevailing status over others within a given context (such as a region, population, or system).
-
E.
languageFamilyCode
Indicates the language family to which a given language belongs, represented by a standardized code.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5a7fb7c819096db848fe2ba246a |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f700cc81908c6de3eedf68433c |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a55a26e081908134ee93faaf7c40 |
completed | March 1, 2026, 8:45 p.m. |
Created at: March 1, 2026, 7:37 p.m.