Triple

T20792127
Position Surface form Disambiguated ID Type / Status
Subject Toba Batak E511803 entity
Predicate hasDialect P4251 FINISHED
Object Balige 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: Balige dialect | Statement: [Toba Batak, hasDialect, Balige dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balige dialect
Context triple: [Toba Batak, hasDialect, Balige dialect]
  • A. Batak languages
    The Batak languages are a group of closely related Austronesian languages spoken primarily by the Batak people of North Sumatra, Indonesia.
  • B. 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.
  • C. Toba Batak language chosen
    Toba Batak language is an Austronesian language spoken primarily by the Toba Batak people of North Sumatra, Indonesia, known for its rich oral tradition and distinctive Batak script.
  • D. Simalungun language
    The Simalungun language is an Austronesian language spoken by the Simalungun subgroup of the Batak people in North Sumatra, Indonesia.
  • E. Bangang dialect
    The Bangang dialect is a regional variety of the Ghomalaʼ language spoken by the Bangang community in western Cameroon.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2910d488190bc4be37512effc86 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.