Triple

T14648898
Position Surface form Disambiguated ID Type / Status
Subject Maat, The Moral Ideal in Ancient Egypt: A Study in Classical African Ethics E343924 entity
Predicate seesMaatAs P115207 FINISHED
Object standard of rightness and righteousness 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: standard of rightness and righteousness | Statement: [Maat, The Moral Ideal in Ancient Egypt: A Study in Classical African Ethics, seesMaatAs, standard of rightness and righteousness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seesMaatAs
Context triple: [Maat, The Moral Ideal in Ancient Egypt: A Study in Classical African Ethics, seesMaatAs, standard of rightness and righteousness]
  • A. sees
    Indicates that one entity visually perceives or observes another entity.
  • B. isSeeOf
    Indicates that one entity serves as the episcopal or ecclesiastical seat (see) of another, typically a bishop or similar religious office.
  • C. isMotherSeeOf
    Indicates that one entity is the mother who witnesses, oversees, or observes another entity or that entity’s actions.
  • D. seeType
    Indicates that one entity observes, recognizes, or visually perceives another entity of a particular type or category.
  • E. canBeSeenWith
    Indicates that two entities are observable together in the same context, setting, or time.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ed037c8190a87bf43f839fec05 completed April 14, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69de6576f0208190aa94d995e797ac38 completed April 14, 2026, 4:04 p.m.
PDg Predicate description generation batch_69de716c17cc8190aeb85296abee85a7 completed April 14, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:26 a.m.