Triple

T8798068
Position Surface form Disambiguated ID Type / Status
Subject Sundanese literature E209337 entity
Predicate writingSystem P454 FINISHED
Object Pegon script E39178 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: Pegon script | Statement: [Sundanese literature, writingSystem, Pegon script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pegon script
Context triple: [Sundanese literature, writingSystem, 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. 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.
  • D. PEG
    PEG is the IATA airport code for Perugia San Francesco d’Assisi – Umbria International Airport in central Italy.
  • E. Rencong script
    The Rencong script is an ancient Brahmic-derived writing system historically used in parts of Sumatra, Indonesia, particularly for Malay and related regional languages.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa50dd081908fa5e4ffa70342e2 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f658f248190957eba821b07cc4f completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:44 p.m.