Triple

T14800928
Position Surface form Disambiguated ID Type / Status
Subject Hobyot E347906 entity
Predicate isRelatedTo P37 FINISHED
Object Bathari language E339264 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: Bathari language | Statement: [Hobyot, isRelatedTo, Bathari language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bathari language
Context triple: [Hobyot, isRelatedTo, Bathari language]
  • A. Bathari language chosen
    The Bathari language is a critically endangered Modern South Arabian language spoken by a small community in coastal Oman.
  • B. Bafia language
    The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
  • C. Belhare language
    The Belhare language is a Kiranti language of the Sino-Tibetan family spoken by the Belhare community in eastern Nepal.
  • D. Bartangi language
    The Bartangi language is an Eastern Iranian Pamir language spoken by the Bartangi people in the Bartang Valley of Tajikistan.
  • E. Bagvalal language
    The Bagvalal language is a Northeast Caucasian language spoken by the Bagvalal people in the Republic of Dagestan, Russia.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd62c36c81909c2993dc7d1a79ea completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389183a881908e6af44b71f81ace completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:31 a.m.