Triple

T23122928
Position Surface form Disambiguated ID Type / Status
Subject Seejiq E576948 entity
Predicate hasDialect P4251 FINISHED
Object Tgdaya dialect NE NERFINISHED

How this triple was built (3 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: Tgdaya dialect | Statement: [Seejiq, hasDialect, Tgdaya dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tgdaya dialect
Context triple: [Seejiq, hasDialect, Tgdaya 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. Tappalang dialect
    The Tappalang dialect is a regional variety of the Mandar language spoken by Mandar communities in parts of West Sulawesi, Indonesia.
  • C. Lempur dialect
    The Lempur dialect is a regional variety of the Kerinci language spoken in and around the village of Lempur in Jambi, Sumatra, Indonesia.
  • D. Yagwa dialect
    The Yagwa dialect is a regional variety of the Masa language spoken by communities in parts of Central Africa.
  • E. Taai dialect
    The Taai dialect is a regional variety of the Saisiyat language spoken by the indigenous Saisiyat people of Taiwan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tgdaya dialect
Target entity description: The Tgdaya dialect is a regional variety of the Seediq (Seejiq) language spoken by an Indigenous community in Taiwan.
  • 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. Tappalang dialect
    The Tappalang dialect is a regional variety of the Mandar language spoken by Mandar communities in parts of West Sulawesi, Indonesia.
  • C. Lempur dialect
    The Lempur dialect is a regional variety of the Kerinci language spoken in and around the village of Lempur in Jambi, Sumatra, Indonesia.
  • D. Yagwa dialect
    The Yagwa dialect is a regional variety of the Masa language spoken by communities in parts of Central Africa.
  • E. Taai dialect
    The Taai dialect is a regional variety of the Saisiyat language spoken by the indigenous Saisiyat people of Taiwan.
  • F. None of above. chosen

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.