Triple

T2174763
Position Surface form Disambiguated ID Type / Status
Subject Encoding Standard E48501 entity
Predicate title P38 FINISHED
Object Encoding Standard E48501 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: Encoding Standard | Statement: [Encoding Standard, title, Encoding Standard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Encoding Standard
Context triple: [Encoding Standard, title, Encoding Standard]
  • A. Encoding Standard chosen
    The Encoding Standard is a WHATWG specification that defines how text is encoded and decoded on the web to ensure consistent character handling across browsers and platforms.
  • B. Standards Code
    The Standards Code was a multilateral trade agreement under the GATT that established detailed rules to prevent technical regulations and product standards from becoming disguised barriers to international trade.
  • C. ISO 646
    ISO 646 is an international standard for 7-bit character encodings that defines a set of basic Latin characters and allows national variants, serving as a foundation for many early computer character sets.
  • D. ISO 15924
    ISO 15924 is an international standard that assigns four-letter codes to the world’s writing systems and scripts for use in information processing and interchange.
  • E. Unicode Technical Standard #10
    Unicode Technical Standard #10 is the specification that defines the Unicode Collation Algorithm, providing a standardized method for comparing and sorting Unicode text across languages and platforms.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbeccb2888190aa1fe1039e9dfbe2 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae653b6ae48190ab5c7e6bf2dcfa6f completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:45 p.m.