Triple

T18867484
Position Surface form Disambiguated ID Type / Status
Subject Maatkare E461477 entity
Predicate associatedDeity P1481 FINISHED
Object Maat NE NERFINISHED

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: Maat | Statement: [Maatkare, associatedDeity, Maat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maat
Context triple: [Maatkare, associatedDeity, Maat]
  • A. Maat chosen
    Maat is the ancient Egyptian goddess and personification of truth, justice, balance, and cosmic order, central to both mythology and pharaonic law.
  • B. Maatkare
    Maatkare was the throne name of the ancient Egyptian pharaoh Hatshepsut, one of the most powerful and prominent female rulers of the New Kingdom.
  • C. Thayet
    Thayet is a town in central Myanmar known historically as an administrative and trading center along the Irrawaddy River.
  • D. Satet
    Satet is an ancient Egyptian goddess associated with the Nile’s annual inundation, fertility, and protection, particularly venerated at Elephantine near Egypt’s southern border.
  • E. Sothis
    Sothis is an ancient Egyptian goddess personifying the star Sirius, associated with the Nile’s inundation and often linked with the goddess Isis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a6d1d081909b6dab2a5166a317 completed April 20, 2026, 6:07 a.m.
Created at: April 10, 2026, 11:57 a.m.