Triple

T4474168
Position Surface form Disambiguated ID Type / Status
Subject Bengkulu E98565 entity
Predicate hasBorderWith P224 FINISHED
Object Lampung E99876 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: Lampung | Statement: [Bengkulu, hasBorderWith, Lampung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lampung
Context triple: [Bengkulu, hasBorderWith, 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. 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.
  • D. 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.
  • E. Jambi
    Jambi is a province on the eastern coast of central Sumatra in Indonesia, known for its oil production, plantations, and the Batanghari River.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356bb03f48190a2addcd49c9e470d completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6513446f08190b4ab18dffda9060a completed March 15, 2026, 6:27 a.m.
Created at: March 12, 2026, 11:35 p.m.