Triple

T11631810
Position Surface form Disambiguated ID Type / Status
Subject Ilija E276415 entity
Predicate hasVariantSpelling P457 FINISHED
Object Ilia E200404 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: Ilia | Statement: [Ilija, hasVariantSpelling, Ilia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilia
Context triple: [Ilija, hasVariantSpelling, Ilia]
  • A. Ilia chosen
    Ilia is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries as a form of Elijah.
  • B. Ilia
    Ilia is a Deltan Starfleet officer and navigator featured in "Star Trek: The Motion Picture," known for her empathic abilities and pivotal connection to the V'Ger entity.
  • C. Vyatka
    Vyatka was a historic region and town in northeastern European Russia, known as a frontier area that was gradually incorporated into the centralized Russian state.
  • D. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • E. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25aa9188190ab13d79139f37e7e completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef135cde4881908d1cf9f752592d60 completed April 27, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:39 p.m.