Triple

T7318772
Position Surface form Disambiguated ID Type / Status
Subject Twenty-fifth Dynasty of Egypt E168482 entity
Predicate mainBurialSite P196 FINISHED
Object Nuri E418892 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: Nuri | Statement: [Twenty-fifth Dynasty of Egypt, mainBurialSite, Nuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuri
Context triple: [Twenty-fifth Dynasty of Egypt, mainBurialSite, Nuri]
  • A. Nuri chosen
    Nuri is an ancient archaeological site in northern Sudan that served as a royal necropolis for Nubian kings and queens, featuring a significant concentration of Kushite pyramids.
  • B. Nuri
    Nuri is South Korea’s domestically developed three-stage orbital launch vehicle designed to place satellites into low Earth orbit.
  • C. Kadiria
    Kadiria is a town and commune located within Bouira Province in northern Algeria.
  • D. Ziya
    Ziya is a masculine given name of Turkish origin, historically associated with notable figures such as sociologist and nationalist thinker Ziya Gökalp.
  • E. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6f041f4a88190b85cff1ee5f9a6d0 completed March 27, 2026, 9:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eefcd7148190818d581cbde9aff1 completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:02 p.m.