Triple

T2499130
Position Surface form Disambiguated ID Type / Status
Subject Sahure E52420 entity
Predicate father P120 FINISHED
Object Userkaf E49148 NE 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: Userkaf | Statement: [Sahure, father, Userkaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Userkaf
Context triple: [Sahure, father, Userkaf]
  • A. Userkaf chosen
    Userkaf was a pharaoh of Egypt’s Fifth Dynasty, best known for initiating the construction of sun temples and helping establish the prominence of the solar cult of Ra.
  • B. Userkare
    Userkare was a short-reigning pharaoh of Egypt’s Sixth Dynasty, known primarily from sparse archaeological and textual evidence that leaves many details of his rule uncertain.
  • C. Usingen
    Usingen is a small historic town in the Hochtaunus district of Hesse, Germany, known for its picturesque setting in the Taunus hills and its traditional German architecture.
  • D. Kunde
    Kunde is a small Sherpa village in Nepal’s Khumbu region, near Mount Everest, known for its high-altitude setting and the Kunde Hospital founded by Sir Edmund Hillary.
  • E. Katsuya
    Katsuya is a Japanese given name commonly used for males.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1ae9040819091b3ca5b98659e99 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f9ed13c81909856db636bfb2e9e completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.