Triple

T17646019
Position Surface form Disambiguated ID Type / Status
Subject Pesawaran Regency E429358 entity
Predicate borders P224 FINISHED
Object Bandar Lampung City 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: Bandar Lampung City | Statement: [Pesawaran Regency, borders, Bandar Lampung City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandar Lampung City
Context triple: [Pesawaran Regency, borders, Bandar Lampung City]
  • A. Bandar Lampung chosen
    Bandar Lampung is a major port city in southern Sumatra, Indonesia, serving as the capital of Lampung Province and a key gateway between the island and Java.
  • B. Pangkalpinang
    Pangkalpinang is the largest city and administrative, economic, and cultural center of Indonesia’s Bangka Belitung Islands province, located on Bangka Island.
  • C. Kita City
    Kita City is a special ward in northern Tokyo, Japan, known for its residential neighborhoods, parks, and major railway hubs such as Akabane.
  • D. Cilegon
    Cilegon is an industrial port city in western Java, Indonesia, known for its steel industry and strategic location near the Sunda Strait.
  • E. Kota Pahlawan
    Kota Pahlawan is a nickname for the Indonesian city of Surabaya, renowned for its pivotal role and heroism in the country’s struggle for independence.
  • 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_69e46e39937881909bb6a1792fff39a9 completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:04 a.m.