Triple

T17468367
Position Surface form Disambiguated ID Type / Status
Subject Elkab E425336 entity
Predicate ancientName P2834 FINISHED
Object Nekheb 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: Nekheb | Statement: [Elkab, ancientName, Nekheb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nekheb
Context triple: [Elkab, ancientName, Nekheb]
  • A. Nekheb chosen
    Nekheb was an ancient Egyptian city in Upper Egypt, closely associated with the vulture goddess Nekhbet and serving as an important religious and political center.
  • B. Nakhtnebef
    Nakhtnebef is the birth name of Nectanebo I, the founder of Egypt’s Thirtieth Dynasty and one of the last native Egyptian pharaohs.
  • C. Shemu
    Shemu is the ancient Egyptian season of harvest, marking the time when crops were gathered before the annual Nile inundation.
  • D. Nebkauhor
    Nebkauhor was an ancient Egyptian prince of the 6th Dynasty, known as a son of Pharaoh Teti.
  • E. Senenmut
    Senenmut was a prominent ancient Egyptian official and architect of the 18th Dynasty, best known for his close association with Pharaoh Hatshepsut and for designing some of her most famous monuments.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451aa0e1c81909627369465575c06 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.