Triple

T1917652
Position Surface form Disambiguated ID Type / Status
Subject Sneferu E40053 entity
Predicate innovations P1484 FINISHED
Object refinement of pyramid angle and construction techniques 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: refinement of pyramid angle and construction techniques | Statement: [Sneferu, innovations, refinement of pyramid angle and construction techniques]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: innovations
Context triple: [Sneferu, innovations, refinement of pyramid angle and construction techniques]
  • A. innovation chosen
    Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
  • B. innovationFrom
    Indicates that something originates, arises, or is derived as an innovation from a particular source or prior entity.
  • C. innovationArea
    Indicates the thematic or domain-specific field in which an innovation is focused or applied.
  • D. technologyPioneered
    Indicates that an entity was the first or among the first to develop, introduce, or significantly advance a particular technology.
  • E. inventionType
    Indicates the specific category or kind of invention that characterizes the relationship between an invention and its type.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2107fe48190bafff825f1f805ad completed March 7, 2026, 5:05 a.m.
PD Predicate disambiguation batch_69abafed2ab481908920334e77b1021b completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.