Triple

T14096563
Position Surface form Disambiguated ID Type / Status
Subject Shehri language E339266 entity
Predicate relatedTo 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: [Shehri language, relatedTo, Bathari language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bathari language
Context triple: [Shehri language, relatedTo, 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb926288190a7f0f50d1d585d76 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193332308190870c4ec7c9753202 completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 10:22 p.m.