Triple

T24583947
Position Surface form Disambiguated ID Type / Status
Subject King of Upper and Lower Egypt E608328 entity
Predicate oftenRenderedAs P87213 FINISHED
Object King of the Two Lands 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: King of the Two Lands | Statement: [King of Upper and Lower Egypt, oftenRenderedAs, King of the Two Lands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oftenRenderedAs
Context triple: [King of Upper and Lower Egypt, oftenRenderedAs, King of the Two Lands]
  • A. renderedUnder
    Indicates that one entity was produced, displayed, or executed within the authority, context, or environment provided by another entity.
  • B. oftenExpressedAs chosen
    Indicates that one thing is frequently represented, stated, or manifested in the form of another.
  • C. oftenBroadcastAs
    Indicates that something is frequently transmitted or aired through a broadcast medium under a particular form, title, or version.
  • D. renderedBy
    Indicates that something is produced, drawn, or visually generated by a particular agent, tool, or process.
  • E. renders
    Indicates that one entity produces, generates, or visually presents another entity, often by transforming data or instructions into a final displayed or usable form.
  • 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_69e2c4ce89248190ad99e18f0638dfbb completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a984577881908c855f5e05756909 completed April 30, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69f2a6c1f07081908edf0b521767e79b completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:29 a.m.