Triple

T1284001
Position Surface form Disambiguated ID Type / Status
Subject Ta-Mehu E27390 entity
Predicate hasDeity P5606 FINISHED
Object cobra goddess Wadjet E24038 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: cobra goddess Wadjet | Statement: [Ta-Mehu, hasDeity, cobra goddess Wadjet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: cobra goddess Wadjet
Context triple: [Ta-Mehu, hasDeity, cobra goddess Wadjet]
  • A. vulture goddess Nekhbet
    The vulture goddess Nekhbet is an ancient Egyptian protective deity of Upper Egypt, often depicted as a vulture spreading her wings over pharaohs as their guardian.
  • B. Wadjet chosen
    Wadjet is an ancient Egyptian cobra goddess associated with royal protection, kingship, and the land of Lower Egypt.
  • C. Neith
    Neith is an ancient Egyptian goddess associated with war, hunting, and weaving, often revered as a creator deity and protector of Lower Egypt.
  • D. Isis
    Isis is an ancient Egyptian goddess associated with magic, motherhood, healing, and protection, widely venerated throughout Egypt and the Greco-Roman world.
  • E. Isis
    Isis is the name given to the stretch of the River Thames that flows through Oxford, England.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b599ac819096fca9ada294d939 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2fdb3ac81909bc836e2a655130c completed March 7, 2026, 10:13 p.m.
Created at: March 1, 2026, 7:50 p.m.