Triple

T23122927
Position Surface form Disambiguated ID Type / Status
Subject Seejiq E576948 entity
Predicate hasDialect P4251 FINISHED
Object Toda dialect NE NERFINISHED

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: Toda dialect | Statement: [Seejiq, hasDialect, Toda dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toda dialect
Context triple: [Seejiq, hasDialect, Toda dialect]
  • A. Toda language chosen
    The Toda language is a Dravidian language spoken by the indigenous Toda people of the Nilgiri Hills in southern India, known for its highly inflected grammar and endangered status.
  • B. Raijua dialect
    The Raijua dialect is a regional variety of the Sawu language spoken on Raijua Island in eastern Indonesia, distinguished by its own phonological and lexical features.
  • C. Tomia dialect
    The Tomia dialect is a regional variety of the Tukang Besi language spoken on Tomia Island in Southeast Sulawesi, Indonesia.
  • D. Shodon dialect
    The Shodon dialect is a regional variety of the Amami Ryukyuan language spoken on Shodon Island in Japan’s Ryukyu archipelago.
  • E. Kamia dialect
    The Kamia dialect is a regional variety of the Ipai-Tipai language traditionally spoken by the Kamia (Kumeyaay) people of southern California and northern Baja California.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e517a0481909829a73fdf255d1c completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.