Triple

T6301174
Position Surface form Disambiguated ID Type / Status
Subject Rejang languages E141257 entity
Predicate region P40 FINISHED
Object Bengkulu Province E98565 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: Bengkulu Province | Statement: [Rejang languages, region, Bengkulu Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bengkulu Province
Context triple: [Rejang languages, region, Bengkulu Province]
  • A. Bengkulu chosen
    Bengkulu is a province on the southwest coast of the Indonesian island of Sumatra, known for its Indian Ocean shoreline and colonial history.
  • B. 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.
  • C. West Kalimantan
    West Kalimantan is a province on the island of Borneo in Indonesia, known for its diverse ethnic communities, extensive rainforests, and the equatorial city of Pontianak as its capital.
  • D. Lampung
    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.
  • E. South Kalimantan
    South Kalimantan is a province on the island of Borneo in Indonesia, known for its rich Dayak and Banjar cultures, extensive river systems, and significant rainforest and mining areas.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645bb41481909294b06e2b3e1845 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6385c26f08190952d810a82b9236f completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:27 p.m.