Triple

T26409136
Position Surface form Disambiguated ID Type / Status
Subject GHASH E663911 entity
Predicate fieldNotation P3759 FINISHED
Object GF(2^128) 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: GF(2^128) | Statement: [GHASH, fieldNotation, GF(2^128)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fieldNotation
Context triple: [GHASH, fieldNotation, GF(2^128)]
  • A. notationType chosen
    Indicates the specific system or style of notation used to represent or encode something (such as music, math, or language).
  • B. fieldRepresents
    Indicates that one field or attribute stands for, encodes, or symbolizes another concept, value, or entity.
  • C. fieldPattern
    Indicates a recurring or structured arrangement or configuration present within a field or area.
  • D. fieldNamedFor
    Indicates that a particular field (such as a sports field or open area) bears the name of a specified person, group, or entity in their honor.
  • E. levelNotation
    Indicates the specific symbolic or textual notation used to represent the level, degree, or rank of something within a defined scale or hierarchy.
  • 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_69ee883931888190901be96d75ee23cc completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6352fdb788190b9bad30243690743 completed May 2, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69f631850ae08190a0ba51e4f1e4ccb3 completed May 2, 2026, 5:16 p.m.
Created at: April 26, 2026, 11:37 p.m.