Triple

T10987776
Position Surface form Disambiguated ID Type / Status
Subject Avar-Andic languages E259673 entity
Predicate hasLanguage P15 FINISHED
Object Chamalal language E416671 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: Chamalal language | Statement: [Avar-Andic languages, hasLanguage, Chamalal language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chamalal language
Context triple: [Avar-Andic languages, hasLanguage, Chamalal language]
  • A. Chamalal language chosen
    The Chamalal language is a Northeast Caucasian language spoken by the Chamalal people in the western part of Dagestan, Russia.
  • B. Chambeali language
    Chambeali is an Indo-Aryan language spoken in the Chamba region of Himachal Pradesh in northern India.
  • C. Cham language
    Cham language is an Austronesian language historically spoken by the Cham people of mainland Southeast Asia, particularly in present-day Vietnam and Cambodia.
  • D. Chamling language
    The Chamling language is a Kiranti Sino-Tibetan language spoken primarily by the Chamling Rai people of eastern Nepal.
  • E. Chumburung language
    The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in Ghana.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b3c8388190be77e95d56979a7f completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344f95ab88190bbce8f0eab0b2713 completed April 18, 2026, 8:46 a.m.
Created at: April 8, 2026, 9:24 p.m.