Triple

T22734185
Position Surface form Disambiguated ID Type / Status
Subject South Sulawesi kingdoms E562219 entity
Predicate includedKingdom P12466 FINISHED
Object Sidenreng 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: Sidenreng | Statement: [South Sulawesi kingdoms, includedKingdom, Sidenreng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidenreng
Context triple: [South Sulawesi kingdoms, includedKingdom, Sidenreng]
  • A. Narungga
    Narungga are an Aboriginal Australian people and language group traditionally associated with the Yorke Peninsula in South Australia.
  • B. Sidenreng Rappang chosen
    Sidenreng Rappang is a regency in South Sulawesi, Indonesia, known for its agricultural activities and Bugis cultural heritage.
  • C. Temiang
    Temiang is a local area and state constituency within the city of Seremban in Negeri Sembilan, Malaysia.
  • D. Ranongga
    Ranongga is an island in the Western Province of the Solomon Islands, known for its traditional villages, coral reefs, and subsistence farming communities.
  • E. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1796e4970819090fb9c9926673938 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:22 p.m.