Triple

T7562687
Position Surface form Disambiguated ID Type / Status
Subject Sultanate of Banten E178831 entity
Predicate capital P234 FINISHED
Object Banten E30884 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: Banten | Statement: [Sultanate of Banten, capital, Banten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banten
Context triple: [Sultanate of Banten, capital, Banten]
  • A. Banten chosen
    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.
  • B. West Java
    West Java is a populous province on the western part of Indonesia’s Java Island, known for its Sundanese culture, mountainous landscapes, and the metropolitan city of Bandung.
  • C. 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.
  • D. Banten Regency
    Banten Regency is an administrative region in Indonesia’s Banten Province that encompasses the historic area of Old Banten, once the center of the powerful Banten Sultanate.
  • E. East Java
    East Java is a populous province in the eastern part of Indonesia’s Java Island, known for its capital Surabaya, active volcanoes like Mount Bromo, and a mix of industrial, agricultural, and cultural centers.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8f994a48190b8338654d6777654 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8615c98808190a9dd598846a598b2 completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:50 p.m.