Triple

T6687467
Position Surface form Disambiguated ID Type / Status
Subject Den E152134 entity
Predicate kingdom P567 FINISHED
Object Egypt E1136 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: Egypt | Statement: [Den, kingdom, Egypt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egypt
Context triple: [Den, kingdom, Egypt]
  • A. Egypt chosen
    Egypt is a transcontinental country in Northeast Africa and the Sinai Peninsula, renowned for its ancient civilization, monumental pyramids, and the Nile River.
  • B. Egypta
    Egypta is a pioneering early 20th-century dance work by Ruth St. Denis that explores stylized interpretations of ancient Egyptian themes and aesthetics.
  • C. Egypt Eyalet
    Egypt Eyalet was an autonomous Ottoman province in the 19th century, ruled by Muhammad Ali and known for its powerful modernized military and significant role in regional conflicts.
  • D. Alashiya
    Alashiya was an important Late Bronze Age polity, likely centered on Cyprus, known for its copper production and diplomatic correspondence with major Near Eastern powers.
  • E. Egypt in Nubia
    "Egypt in Nubia" is a scholarly work by archaeologist Walter Bryan Emery that examines the historical and archaeological interactions between ancient Egypt and the Nubian region.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b14e58708190a4ba8ff1c085f160 completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f782dfb481909e65bb9444ddcda1 completed March 27, 2026, 9:32 p.m.
Created at: March 27, 2026, 2:04 p.m.