Triple

T5872585
Position Surface form Disambiguated ID Type / Status
Subject Java E130552 entity
Predicate containsProvince P11085 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: [Java, containsProvince, Banten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banten
Context triple: [Java, containsProvince, 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. 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.
  • E. Tangerang
    Tangerang is a major urban and industrial city in Indonesia located just west of Jakarta on the island of Java.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035f99b788190b5b06d83b9499bfa completed March 22, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e377e1108190b0820f92eab012c2 completed March 23, 2026, 6:53 a.m.
Created at: March 22, 2026, 3:56 p.m.