Triple

T22175803
Position Surface form Disambiguated ID Type / Status
Subject Pakpak-Dairi E548045 entity
Predicate hasDialects P4251 FINISHED
Object Pakpak Keppas 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: Pakpak Keppas | Statement: [Pakpak-Dairi, hasDialects, Pakpak Keppas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakpak Keppas
Context triple: [Pakpak-Dairi, hasDialects, Pakpak Keppas]
  • A. Pakpak Keppas chosen
    Pakpak Keppas is a regional dialect of the Pakpak Dairi language spoken by the Pakpak ethnic community in parts of North Sumatra, Indonesia.
  • B. Pakpak
    Pakpak are an indigenous ethnic group of northern Sumatra, Indonesia, with their own distinct language and cultural traditions closely associated with the Batak peoples.
  • C. Pangcah
    Pangcah is the self-designation of the Amis, one of the largest Indigenous Austronesian peoples of Taiwan, known for their distinct language and rich cultural traditions.
  • D. Pakualaman
    Pakualaman is a small hereditary Javanese princely state and court within Yogyakarta, established in the 19th century as a minor parallel to the main sultanate.
  • E. Bantia
    Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6c40988190ba52ea46079eb306 completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.