Triple

T17202239
Position Surface form Disambiguated ID Type / Status
Subject Chowra language E417503 entity
Predicate closelyRelatedTo P37 FINISHED
Object Teressa language E417502 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: Teressa language | Statement: [Chowra language, closelyRelatedTo, Teressa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teressa language
Context triple: [Chowra language, closelyRelatedTo, Teressa language]
  • A. Teressa language chosen
    Teressa language is an Austroasiatic language spoken by the Nicobarese community on Teressa Island in India’s Nicobar Islands.
  • B. Terik language
    The Terik language is a Southern Nilotic language spoken by the Terik people of western Kenya, closely associated with neighboring Kalenjin groups such as the Kipsigis.
  • C. Temiar language
    The Temiar language is an Austroasiatic Aslian language spoken by the Temiar people of Peninsular Malaysia, known for its complex phonology and rich oral tradition.
  • D. Teda language
    The Teda language is a Saharan language spoken primarily by the Teda (northern Toubou) people of the Tibesti region in Chad and southern Libya.
  • E. Tedaga language
    The Tedaga language is a Saharan language spoken primarily by the Teda (Tubu) people of northern Chad and southern Libya.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42db014b08190b88a5001e9f7811b completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fdc13d88190bbf9e6d1272814d2 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.