Triple

T10625906
Position Surface form Disambiguated ID Type / Status
Subject Alexandru E250321 entity
Predicate hasVariant P455 FINISHED
Object Aleksandar E307305 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: Aleksandar | Statement: [Alexandru, hasVariant, Aleksandar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aleksandar
Context triple: [Alexandru, hasVariant, Aleksandar]
  • A. Aleksandar chosen
    Aleksandar is a masculine given name commonly used in Slavic countries, equivalent to Alexander.
  • B. Jovan
    Jovan is a masculine given name commonly used in South Slavic regions, equivalent to "John" in English.
  • C. Ivan Sratsimir
    Ivan Sratsimir was a 14th-century Bulgarian tsar who ruled the Vidin-based western part of the fragmented Second Bulgarian Empire during its final decades before Ottoman conquest.
  • D. Dimitar
    Dimitar is a masculine given name of Slavic origin, commonly used in Bulgaria and other Eastern European countries.
  • E. Milutin
    Milutin is a masculine given name of Slavic origin, commonly used in Serbian and other South Slavic cultures.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df80a30c81909f36fe221cf68822 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b9a27f881908e451bfa6c118af4 completed April 10, 2026, 9:28 p.m.
Created at: April 8, 2026, 8:54 p.m.