Triple

T22415828
Position Surface form Disambiguated ID Type / Status
Subject Betawi E554120 entity
Predicate hasAlternativeName P39 FINISHED
Object Bahasa Betawi 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: Bahasa Betawi | Statement: [Betawi, hasAlternativeName, Bahasa Betawi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bahasa Betawi
Context triple: [Betawi, hasAlternativeName, Bahasa Betawi]
  • A. Betawi language
    Betawi language is an Austronesian language variety spoken primarily in Jakarta, Indonesia, known for blending Malay with influences from Javanese, Sundanese, Chinese, Arabic, and Dutch.
  • B. Asinan Betawi
    Asinan Betawi is a traditional Betawi pickled vegetable and fruit salad dish from Jakarta, typically served in a tangy, spicy vinegar-based brine.
  • C. Bidayuh language
    The Bidayuh language is an Austronesian language spoken by the Bidayuh people of western Borneo, particularly in the Malaysian state of Sarawak and parts of Indonesian Kalimantan.
  • D. Bawean Malay
    Bawean Malay is an Austronesian language variety closely related to Malay and spoken primarily by the Baweanese community on Bawean Island in Indonesia.
  • E. Betawi Malay chosen
    Betawi Malay is a Malay-based creole language spoken primarily in Jakarta, Indonesia, serving as the traditional language of the Betawi ethnic community.
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1594615f881909688b02548ee83eb completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.