Triple

T2185762
Position Surface form Disambiguated ID Type / Status
Subject Userkaf E49148 entity
Predicate throneName P25582 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: [Userkaf, throneName, Userkaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Userkaf
Context triple: [Userkaf, throneName, 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. 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.
  • C. Katsuya
    Katsuya is a Japanese given name commonly used for males.
  • D. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • E. Iputinga
    Iputinga is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf1152688190955c14c0937deefd completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5dab44008190aeb4f77b73db2b36 completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:45 p.m.