Triple

T8202463
Position Surface form Disambiguated ID Type / Status
Subject Simplified Chinese E191611 entity
Predicate hasAlternativeName P39 FINISHED
Object 简体中文 E191611 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: 简体中文 | Statement: [Simplified Chinese, hasAlternativeName, 简体中文]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 简体中文
Context triple: [Simplified Chinese, hasAlternativeName, 简体中文]
  • A. Simplified Chinese chosen
    Simplified Chinese is a standardized form of written Chinese that uses characters with reduced strokes, primarily employed in mainland China and Singapore.
  • B. CN
    CN is the commonly used abbreviation for Monaco’s National Council, the unicameral legislative body of the Principality.
  • C. CN
    CN is the vehicle registration code used for County Cavan in Ireland.
  • D. CN
    CN is a major Canadian freight railway company that operates an extensive rail network across Canada and into the United States.
  • E. CN
    CN is the vehicle registration code used on license plates for the Province of Cuneo in Italy.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5df84b108190b4407a72a3500af9 completed March 31, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedc49ba4819099762f200c4e6577 completed April 1, 2026, 10:04 a.m.
Created at: March 30, 2026, 5:43 p.m.