Triple

T16859793
Position Surface form Disambiguated ID Type / Status
Subject South Dravidian languages E409877 entity
Predicate hasMember P10 FINISHED
Object Paniya language E418596 NE 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: Paniya language | Statement: [South Dravidian languages, hasMember, Paniya language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paniya language
Context triple: [South Dravidian languages, hasMember, Paniya language]
  • A. Paniya language chosen
    The Paniya language is a Dravidian tribal language spoken primarily by the Paniya people in parts of Kerala, Karnataka, and Tamil Nadu in southern India.
  • B. Pana language
    Pana language is a lesser-known Niger-Congo language spoken by the Pana people of Central Africa, particularly in parts of the Central African Republic and neighboring regions.
  • C. Puyuma language
    The Puyuma language is an endangered Austronesian language spoken by the Puyuma Indigenous people of southeastern Taiwan.
  • D. Paite language
    The Paite language is a Tibeto-Burman language spoken primarily by the Paite people in northeastern India and parts of Myanmar.
  • E. Parji language
    The Parji language is a lesser-known Dravidian language spoken primarily by tribal communities in central India, particularly in parts of Chhattisgarh and Odisha.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b501f72881909f7600311705fb33 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb25300c8190a352037c21c244bd completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.