Triple

T12833213
Position Surface form Disambiguated ID Type / Status
Subject Little Yenisei E306838 entity
Predicate hasAlternativeName P39 FINISHED
Object Kaa-Khem E1004768 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: Kaa-Khem | Statement: [Little Yenisei, hasAlternativeName, Kaa-Khem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaa-Khem
Context triple: [Little Yenisei, hasAlternativeName, Kaa-Khem]
  • A. Kaa-Khem chosen
    Kaa-Khem is the local name for the Little Yenisei River, a tributary of the Yenisei flowing through the Tuva region of southern Siberia.
  • B. Semerkhet
    Semerkhet was an early dynastic Egyptian pharaoh of the First Dynasty, known from archaeological records and king lists as one of the successors of the unifier-kings of ancient Egypt.
  • C. Sekhen
    Sekhen is an alternative name for the ancient Egyptian king Ka, an early ruler of the First Dynasty period.
  • D. Qurna
    Qurna is a town in southern Iraq near the confluence of the Tigris and Euphrates rivers, historically significant as a strategic site during World War I.
  • E. Nebet
    Nebet was an ancient Egyptian noblewoman who held high-ranking titles and was the mother of Queen Ankhesenpepi II of the Sixth Dynasty.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb0bb208190bdc4d3dc7909be06 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b9bb0b48190ba3f9f92d270db83 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:34 p.m.