Triple

T12833212
Position Surface form Disambiguated ID Type / Status
Subject Little Yenisei E306838 entity
Predicate hasLocalName P6353 FINISHED
Object Kaa-Khem
Kaa-Khem is the local name for the Little Yenisei River, a tributary of the Yenisei flowing through the Tuva region of southern Siberia.
E1004768 NE FINISHED

How this triple was built (4 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, hasLocalName, Kaa-Khem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaa-Khem
Context triple: [Little Yenisei, hasLocalName, Kaa-Khem]
  • A. 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.
  • B. Sekhen
    Sekhen is an alternative name for the ancient Egyptian king Ka, an early ruler of the First Dynasty period.
  • C. 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.
  • D. Nebet
    Nebet was an ancient Egyptian noblewoman who held high-ranking titles and was the mother of Queen Ankhesenpepi II of the Sixth Dynasty.
  • E. Saqar
    Saqar is a term in the Qur'an referring to a severe level of Hell associated with intense punishment for disbelievers.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kaa-Khem
Triple: [Little Yenisei, hasLocalName, Kaa-Khem]
Generated description
Kaa-Khem is the local name for the Little Yenisei River, a tributary of the Yenisei flowing through the Tuva region of southern Siberia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kaa-Khem
Target entity description: Kaa-Khem is the local name for the Little Yenisei River, a tributary of the Yenisei flowing through the Tuva region of southern Siberia.
  • A. 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.
  • B. Sekhen
    Sekhen is an alternative name for the ancient Egyptian king Ka, an early ruler of the First Dynasty period.
  • C. 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.
  • D. Nebet
    Nebet was an ancient Egyptian noblewoman who held high-ranking titles and was the mother of Queen Ankhesenpepi II of the Sixth Dynasty.
  • E. Saqar
    Saqar is a term in the Qur'an referring to a severe level of Hell associated with intense punishment for disbelievers.
  • F. None of above. chosen

Provenance (5 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_69f68ed8d20081908e0fb5262b354cab completed May 2, 2026, 11:55 p.m.
NEDg Description generation batch_69f6908cb8ec8190855b217c13a51f16 completed May 3, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69f6917688508190ae5a64494eaadce7 completed May 3, 2026, 12:06 a.m.
Created at: April 9, 2026, 5:34 p.m.