Triple

T8674824
Position Surface form Disambiguated ID Type / Status
Subject Bajelani dialect E205887 entity
Predicate hasAlternativeName P39 FINISHED
Object Bajalan dialect E205887 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: Bajalan dialect | Statement: [Bajelani dialect, hasAlternativeName, Bajalan dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bajalan dialect
Context triple: [Bajelani dialect, hasAlternativeName, Bajalan dialect]
  • A. Tigapanah dialect
    The Tigapanah dialect is a regional variety of the Karo Batak language spoken by Karo communities in and around the Tigapanah area of North Sumatra, Indonesia.
  • B. Balanipa dialect
    The Balanipa dialect is a regional variety of the Mandar language spoken by communities in the Balanipa area of West Sulawesi, Indonesia.
  • C. Bajelani dialect chosen
    The Bajelani dialect is a regional variety of the Gorani language spoken by Kurdish communities in parts of the Middle East.
  • D. Sekopa dialect
    The Sekopa dialect is a regional variety of the Northern Sotho language spoken by specific communities in South Africa, distinguished by its own phonological and lexical features.
  • E. Tappalang dialect
    The Tappalang dialect is a regional variety of the Mandar language spoken by Mandar communities in parts of West Sulawesi, Indonesia.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc49f54dfc8190b7a61e7ed1cfcbeb completed March 31, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd4719a881908ee6bd8514ab9f81 completed April 2, 2026, 8:10 p.m.
Created at: March 30, 2026, 6:31 p.m.