Triple

T15870772
Position Surface form Disambiguated ID Type / Status
Subject Poso E384823 entity
Predicate capitalOf P204 FINISHED
Object Poso Regency E569533 NE FINISHED

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: Poso Regency | Statement: [Poso, capitalOf, Poso Regency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poso Regency
Context triple: [Poso, capitalOf, Poso Regency]
  • A. Poso Regency chosen
    Poso Regency is an administrative region in Central Sulawesi, Indonesia, known for its cultural and linguistic diversity, including indigenous communities such as Bada speakers.
  • B. Bangka Regency
    Bangka Regency is an administrative regency located on Bangka Island in Indonesia’s Bangka Belitung Islands province, known for its tin mining and coastal landscapes.
  • C. Malinau Regency
    Malinau Regency is an administrative region in northern Borneo known for its vast rainforest areas, rich indigenous Dayak cultures, and significant biodiversity.
  • D. Banjar Regency
    Banjar Regency is an administrative region in South Kalimantan, Indonesia, known for its traditional river-based culture and iconic floating markets.
  • E. Panji District
    Panji District is an administrative district under the jurisdiction of the prefecture-level city of Huainan in Anhui Province, China, known for its coal resources and industrial development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155f915788190a8efc3b3380cb829 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb59ddc488190ae6b6913f85005f6 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:50 a.m.