Triple

T4769033
Position Surface form Disambiguated ID Type / Status
Subject Atbash E105879 entity
Predicate informationPreservation P40904 FINISHED
Object lossless transformation 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: lossless transformation | Statement: [Atbash, informationPreservation, lossless transformation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: informationPreservation
Context triple: [Atbash, informationPreservation, lossless transformation]
  • A. preservationPurpose
    Indicates that something exists, is created, or is maintained with the specific aim of preserving or safeguarding another entity or resource.
  • B. preservationType chosen
    Indicates the method or process by which something is preserved or kept from deterioration.
  • C. preservationMethod
    Indicates the technique or process used to maintain, protect, or prolong the condition, quality, or usability of something over time.
  • D. preservationFocus
    Indicates that the primary concern or emphasis is on maintaining, protecting, or conserving something in its existing or intended state.
  • E. reasonForPreservation
    Indicates that something is being preserved or maintained for a particular reason, purpose, or justification.
  • F. None of above.

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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd655aceb081908100ffc0498fe183 completed March 20, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69bd6229d8448190a271719e5e30fd82 completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:21 p.m.