Triple

T6116754
Position Surface form Disambiguated ID Type / Status
Subject Sundanese people E136377 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 people, writingSystem, Pegon script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pegon script
Context triple: [Sundanese people, 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. 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.
  • C. PEG
    PEG is the IATA airport code for Perugia San Francesco d’Assisi – Umbria International Airport in central Italy.
  • D. 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.
  • E. Peg
    Peg is a common diminutive or nickname for the female given name Margaret.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05beb4cfc8190ab67a5338ec59cea completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1256ddb38819095f582b6468db407 completed March 23, 2026, 11:35 a.m.
Created at: March 22, 2026, 4:14 p.m.