Triple

T20792131
Position Surface form Disambiguated ID Type / Status
Subject Toba Batak E511803 entity
Predicate closelyRelatedTo P37 FINISHED
Object Karo Batak 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: Karo Batak | Statement: [Toba Batak, closelyRelatedTo, Karo Batak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karo Batak
Context triple: [Toba Batak, closelyRelatedTo, Karo Batak]
  • A. Batak chosen
    The Batak are a group of closely related indigenous ethnic communities from North Sumatra, Indonesia, known for their distinct languages, traditional houses, and rich cultural and ritual practices.
  • B. Toba Batak
    Toba Batak is an Austronesian language spoken primarily by the Toba Batak people of North Sumatra, Indonesia.
  • C. Carakan
    Carakan is the traditional Javanese writing system used for the Javanese language and related regional languages of Indonesia.
  • D. Balige
    Balige is a town in North Sumatra, Indonesia, known as an administrative and cultural center near Lake Toba.
  • E. Sukoró
    Sukoró is a village in Hungary’s Fejér County, known as a lakeside resort and recreational area on the northern shore of Lake Velence.
  • 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.