Triple

T19074876
Position Surface form Disambiguated ID Type / Status
Subject Codex Leningradensis E466878 entity
Predicate hasAlternativeName P39 FINISHED
Object Leningradensis NE NERFINISHED

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: Leningradensis | Statement: [Codex Leningradensis, hasAlternativeName, Leningradensis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leningradensis
Context triple: [Codex Leningradensis, hasAlternativeName, Leningradensis]
  • A. Leningradensis chosen
    Leningradensis is the oldest complete manuscript of the Hebrew Bible in Hebrew, dating to the early 11th century and serving as a key source for modern biblical editions.
  • B. Leninakan
    Leninakan was the Soviet-era name of Gyumri, Armenia’s second-largest city and a major cultural and industrial center.
  • C. Stalinets
    Stalinets was the former name of the Russian football club now known as Lokomotiv Moscow.
  • D. Luria
    Luria is a surname most notably associated with Nobel Prize–winning microbiologist Salvador Luria and several other prominent figures in science and Jewish intellectual history.
  • E. Leningrad
    Leningrad, now known as Saint Petersburg, is a major Russian city on the Baltic Sea that served as the imperial capital and endured a devastating World War II siege.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e3c7b08190bf6448ead11ba916 completed April 20, 2026, 8:25 a.m.
Created at: April 10, 2026, 12:04 p.m.