Triple

T17645946
Position Surface form Disambiguated ID Type / Status
Subject Lampung Selatan Regency E429357 entity
Predicate hasCapital P204 FINISHED
Object Kalianda 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: Kalianda | Statement: [Lampung Selatan Regency, hasCapital, Kalianda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalianda
Context triple: [Lampung Selatan Regency, hasCapital, Kalianda]
  • A. Kalianda chosen
    Kalianda is a coastal town in southern Sumatra, Indonesia, known as an administrative and economic center in Lampung Province and a gateway to nearby beaches and natural attractions.
  • B. Nawuli
    Nawuli is an alternative name for the Nawuri language, a Guang language spoken primarily in parts of Ghana.
  • C. Kasangulu
    Kasangulu is a town and transport hub in western Democratic Republic of the Congo, located near Kinshasa and known for its position along key road and rail routes.
  • D. Kwinana
    Kwinana is an industrial and residential suburb in the southern Perth metropolitan area of Western Australia, known for its heavy industry and coastal location.
  • E. Kandia
    Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e382ba88190af19d0e3b8c8cadd completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:04 a.m.