Triple

T12730509
Position Surface form Disambiguated ID Type / Status
Subject Ankhesenpepi II E304222 entity
Predicate relative P37 FINISHED
Object Khui E1001118 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: Khui | Statement: [Ankhesenpepi II, relative, Khui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khui
Context triple: [Ankhesenpepi II, relative, Khui]
  • A. Khui chosen
    Khui was an ancient Egyptian nobleman, likely a provincial governor or local ruler, known primarily as the father of Queen Ankhesenpepi II of the Sixth Dynasty.
  • B. Ko Miang
    Ko Miang is one of Thailand’s Similan Islands, known for its clear waters, rich marine life, and popular snorkeling and diving sites.
  • C. Te Kao
    Te Kao is a small rural community at the northern end of New Zealand’s North Island, known for its strong Māori heritage and proximity to Ninety Mile Beach.
  • D. Rangloi
    Rangloi is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
  • E. Chinnha
    Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96467a2248190aff1ebb5db84b3c6 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e7dec08190b522a8f3bfde6fe2 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:25 p.m.