Triple

T23318542
Position Surface form Disambiguated ID Type / Status
Subject Southwestern Sumatra E590781 entity
Predicate hasProvince P285 FINISHED
Object Lampung 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: Lampung | Statement: [Southwestern Sumatra, hasProvince, Lampung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lampung
Context triple: [Southwestern Sumatra, hasProvince, Lampung]
  • A. Lampung chosen
    Lampung is a province at the southern tip of the Indonesian island of Sumatra, known for its coastal landscapes, agriculture, and proximity to the Sunda Strait.
  • B. Bengkulu
    Bengkulu is a province on the southwest coast of the Indonesian island of Sumatra, known for its Indian Ocean shoreline and colonial history.
  • C. Belitung Regency
    Belitung Regency is an administrative region in Indonesia encompassing much of Belitung Island, known for its white-sand beaches, granite rock formations, and tin mining history.
  • D. Banten
    Banten is a province on the western tip of Indonesia’s Java Island, known for its coastal trade history, cultural heritage, and proximity to the capital city Jakarta.
  • E. Riau
    Riau is a resource-rich Indonesian province on the central eastern coast of Sumatra, known for its oil, gas, and palm oil industries and its strategic location along the Strait of Malacca.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1978372948190bad066893c4e0768 completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:07 p.m.