Triple

T18867313
Position Surface form Disambiguated ID Type / Status
Subject Anput E461472 entity
Predicate isMotherOf P45555 FINISHED
Object Kebechet 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: Kebechet | Statement: [Anput, isMotherOf, Kebechet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kebechet
Context triple: [Anput, isMotherOf, Kebechet]
  • A. Kebechet chosen
    Kebechet is an ancient Egyptian goddess associated with purification and cooling water, particularly in the context of mummification and the afterlife.
  • B. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • C. Kheperkara
    Kheperkara is the throne name of the ancient Egyptian pharaoh Senusret I of the Twelfth Dynasty.
  • D. Kashta
    Kashta was a Kushite king of Nubia in the 8th century BCE who began the expansion into Egypt that his successors, including Shabaka, would complete.
  • E. Nesher
    Nesher is an industrial town in northern Israel located on the slopes of Mount Carmel, known historically for its cement factory and proximity to Haifa.
  • 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_69e5c2a617548190be6044bf2c3de6d0 completed April 20, 2026, 6:07 a.m.
Created at: April 10, 2026, 11:57 a.m.