Triple

T22175805
Position Surface form Disambiguated ID Type / Status
Subject Pakpak-Dairi E548045 entity
Predicate hasDialects P4251 FINISHED
Object Pakpak Klasen 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 Klasen | Statement: [Pakpak-Dairi, hasDialects, Pakpak Klasen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakpak Klasen
Context triple: [Pakpak-Dairi, hasDialects, Pakpak Klasen]
  • A. Hadiwijaya
    Hadiwijaya was the founding sultan of the Javanese Pajang Sultanate in 16th-century Indonesia, known for consolidating power after the decline of the Demak Sultanate.
  • B. Kita Maninka
    Kita Maninka is a regional variety of the Manding language spoken primarily around the town of Kita in western Mali.
  • C. 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.
  • D. Karnasubarna
    Karnasubarna was an ancient city in eastern India that served as a major political and cultural center during the early medieval period.
  • E. Ranu Kumbolo
    Ranu Kumbolo is a scenic high-altitude lake in East Java, Indonesia, popular as a rest and camping spot for hikers on the route to Mount Semeru.
  • 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.