Triple

T11039229
Position Surface form Disambiguated ID Type / Status
Subject Sekhemkhet E260964 entity
Predicate successor P78 FINISHED
Object Khaba E453013 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: Khaba | Statement: [Sekhemkhet, successor, Khaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khaba
Context triple: [Sekhemkhet, successor, Khaba]
  • A. Khaba chosen
    Khaba was an early ancient Egyptian pharaoh of the 3rd Dynasty, best known for his association with the unfinished Layer Pyramid at Zawyet el'Aryan and for the relative obscurity surrounding his reign.
  • B. Hakha
    Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
  • C. Khorlim
    Khorlim is a village located in the North Goa district of the Indian state of Goa.
  • D. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • E. Khotta
    Khotta is an alternate name for the Khortha language, an Indo-Aryan language spoken primarily in the Indian state of Jharkhand.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797fe93b081909d58bfd4b42715f0 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9d61b548190949f0dfbcb782064 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.