Triple

T22549593
Position Surface form Disambiguated ID Type / Status
Subject Oreng Madhurâ E557522 entity
Predicate script P505 FINISHED
Object Pegon script 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: Pegon script | Statement: [Oreng Madhurâ, script, Pegon script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pegon script
Context triple: [Oreng Madhurâ, script, Pegon script]
  • A. Pegon script chosen
    Pegon script is an adapted form of the Arabic script traditionally used by Javanese and Sundanese Muslims to write their local languages, especially for religious and literary texts.
  • B. PYG
    PYG is the National Rail station code for Paisley Gilmour Street, a major railway station in Paisley, Scotland.
  • C. Mon script
    Mon script is an abugida writing system historically used by the Mon people of Southeast Asia and influential in the development of several other regional scripts, including Burmese.
  • D. PEG
    PEG is a German vehicle registration code assigned to the Bayreuth district region.
  • E. PEG
    PEG is the stock ticker symbol for Public Service Enterprise Group, a major U.S. energy company primarily involved in regulated electric and gas utility operations and power generation.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f74512c8190b5369e19a4bc6325 completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.