Triple

T1547041
Position Surface form Disambiguated ID Type / Status
Subject Khafre E33000 entity
Predicate associatedDeity P1481 FINISHED
Object Ra E96825 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: Ra | Statement: [Khafre, associatedDeity, Ra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ra
Context triple: [Khafre, associatedDeity, Ra]
  • A. Ra chosen
    Ra is the ancient Egyptian sun god, revered as a supreme creator deity and central figure in Pharaonic religion and mythology.
  • B. RA
    RA is the commonly used abbreviation for the Royal Regiment of Artillery, a principal artillery branch of the British Army.
  • C. RA
    RA is a prestigious post-nominal title indicating membership as a Royal Academician of the Royal Academy of Arts in London.
  • D. R
    R is a New York City Subway service that runs along the Broadway Line in Manhattan and Queens, providing local transit through key commercial and residential areas.
  • E. R
    R is a widely used open-source programming language and environment focused on statistical computing, data analysis, and graphical visualization.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb20dd5a88190b3d6e6f0004fe9b4 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30a073bc8190a269cb036775dfe4 completed March 8, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:26 p.m.