Triple

T16889661
Position Surface form Disambiguated ID Type / Status
Subject Carakan E421632 entity
Predicate hasUnicodeBlock P1445 FINISHED
Object Javanese E21999 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: Javanese | Statement: [Carakan, hasUnicodeBlock, Javanese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Javanese
Context triple: [Carakan, hasUnicodeBlock, Javanese]
  • A. Javanese chosen
    The Javanese are the largest ethnic group in Indonesia, primarily inhabiting the island of Java and known for their rich cultural traditions, language, and influence on Indonesian politics and arts.
  • B. Surabayan Javanese
    Surabayan Javanese is a regional variety of the Javanese language spoken in and around the city of Surabaya in East Java, Indonesia, characterized by its distinctive accent and vocabulary.
  • C. Middle Javanese
    Middle Javanese is a historical stage of the Javanese language that developed after Old Javanese and served as a key literary and cultural medium in Java during the late medieval period.
  • D. Banjarese
    Banjarese is an Austronesian language spoken primarily by the Banjar people of South Kalimantan in Indonesia.
  • E. Indonesian
    Indonesian is the standardized form of the Malay language used as the national and administrative language of Indonesia.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc3b5188190ac713b4d4166e961 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfca11bc8190b0835de0d56ca0b1 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:29 a.m.