Triple

T22914821
Position Surface form Disambiguated ID Type / Status
Subject Pakpak people E568704 entity
Predicate province P604 FINISHED
Object North Sumatra 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: North Sumatra | Statement: [Pakpak people, province, North Sumatra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Sumatra
Context triple: [Pakpak people, province, North Sumatra]
  • A. North Sumatra chosen
    North Sumatra is a populous province on the Indonesian island of Sumatra, known for its diverse cultures, Lake Toba, and the city of Medan as its capital.
  • B. South Sumatra
    South Sumatra is a province in the southern part of the Indonesian island of Sumatra, known for its capital Palembang and its rich natural resources and cultural heritage.
  • C. West Sumatra
    West Sumatra is an Indonesian province on the island of Sumatra known for its Minangkabau culture, distinctive architecture, and spicy Padang cuisine.
  • D. Sumatra
    Sumatra is a large Indonesian island in western Indonesia known for its rich biodiversity, active volcanoes, and significant role in regional trade and history.
  • E. Southwestern Sumatra
    Southwestern Sumatra is a region on the Indonesian island of Sumatra known for its indigenous communities and distinctive local languages and cultures.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18078077881908b8124cc22110c6e completed April 29, 2026, 3:52 a.m.
Created at: April 17, 2026, 3:42 p.m.