Triple

T8740343
Position Surface form Disambiguated ID Type / Status
Subject Naqa E207483 entity
Predicate hasDeity P5606 FINISHED
Object Apedemak E212975 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: Apedemak | Statement: [Naqa, hasDeity, Apedemak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apedemak
Context triple: [Naqa, hasDeity, Apedemak]
  • A. Apedemak chosen
    Apedemak is a lion-headed war and fertility god venerated in the ancient Nubian kingdom of Meroë, often associated with royal power and protection.
  • B. Aptoryama
    Aptoryama is a specific Vedic soma sacrifice ritual recognized as a variant form of the Somayajna.
  • C. Anukis
    Anukis is an ancient Egyptian goddess associated primarily with the Nile’s cataracts and southern frontier, often linked to fertility and protection.
  • D. Kamsa
    Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
  • E. Mantoro
    Mantoro is a traditional Japanese lantern festival held at Kasuga Taisha Shrine in Nara, where thousands of stone and hanging lanterns are lit to create a spectacular nighttime illumination.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d4a0cf481909c770cb39fd00fcd completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42e7176c819097e313ed8e8ceb06 completed April 3, 2026, 4:32 a.m.
Created at: March 30, 2026, 6:38 p.m.