Triple

T8397282
Position Surface form Disambiguated ID Type / Status
Subject Menua E198085 entity
Predicate alternateName P39 FINISHED
Object Menua of Urartu E198085 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: Menua of Urartu | Statement: [Menua, alternateName, Menua of Urartu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Menua of Urartu
Context triple: [Menua, alternateName, Menua of Urartu]
  • A. Arbela
    Arbela is the ancient name of the modern city of Erbil in Iraqi Kurdistan, historically known as a major Assyrian and later Hellenistic center near the site of Alexander the Great’s victory at the Battle of Gaugamela.
  • B. Tigranocerta
    Tigranocerta was an ancient Armenian royal city founded by King Tigranes the Great, notable as a major political and cultural center in the 1st century BCE.
  • C. Aycinena
    Aycinena is a prominent Guatemalan family name historically associated with a powerful conservative elite involved in politics, commerce, and colonial-era governance in Central America.
  • D. Tarro
    Tarro is a suburban railway station in the Hunter Region of New South Wales, Australia, serving the local community on the Main Northern line.
  • E. Menua chosen
    Menua was a prominent king of the ancient kingdom of Urartu, known for expanding its territory and developing extensive irrigation and fortification projects.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb818893348190a6ea2ff6a2e3e491 completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde867d21c8190b066a6c88273ec5a completed April 2, 2026, 3:54 a.m.
Created at: March 30, 2026, 6:04 p.m.