Triple

T10627293
Position Surface form Disambiguated ID Type / Status
Subject Ma'at E250355 entity
Predicate transliterationVariant P5923 FINISHED
Object Maat E133376 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: Maat | Statement: [Ma'at, transliterationVariant, Maat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maat
Context triple: [Ma'at, transliterationVariant, 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. Sothis
    Sothis is an ancient Egyptian goddess personifying the star Sirius, associated with the Nile’s inundation and often linked with the goddess Isis.
  • E. Geb
    Geb is the ancient Egyptian god of the earth, often depicted as a reclining man beneath the sky goddess Nut and associated with fertility, vegetation, and the underworld.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df8207f08190a6362a8ba00988b2 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96ba260b48190a5bde201ee3df69a completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 8:55 p.m.