Triple

T20614976
Position Surface form Disambiguated ID Type / Status
Subject Luhn algorithm variant E506542 entity
Predicate usesCharacterMapping P140788 FINISHED
Object letters mapped to numeric values A=10 to Z=35 LITERAL 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: letters mapped to numeric values A=10 to Z=35 | Statement: [Luhn algorithm variant, usesCharacterMapping, letters mapped to numeric values A=10 to Z=35]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesCharacterMapping
Context triple: [Luhn algorithm variant, usesCharacterMapping, letters mapped to numeric values A=10 to Z=35]
  • A. usesCharactersAs
    Indicates that one entity employs or incorporates specific characters (such as letters, symbols, or glyphs) from another entity for its representation or functioning.
  • B. usesCharacter
    Indicates that one entity employs, incorporates, or relies on a particular character (such as a symbol, letter, or persona) in its form, function, or representation.
  • C. usesColloquialCharacters
    Indicates that an expression, name, or text is written using informal, non-standard, or colloquial characters rather than formal or standard script.
  • D. usesCharacterSet
    Indicates that one entity employs or relies on a specific character set defined by another entity for encoding or representing text.
  • E. characterCoverage
    Indicates that one entity provides or includes sufficient representation or support for the characters (e.g., glyphs, symbols, or scripts) required or used by another entity.
  • F. None of above. chosen

Provenance (4 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aadaf47881909e93efb535c6c1e3 completed April 20, 2026, 10:38 p.m.
PD Predicate disambiguation batch_69e5a00c43308190b7ea58d559257e07 completed April 20, 2026, 3:39 a.m.
PDg Predicate description generation batch_69e5a6a9f3f88190b961db9aca36f7da completed April 20, 2026, 4:08 a.m.
Created at: April 16, 2026, 11:41 a.m.