Triple

T9568721
Position Surface form Disambiguated ID Type / Status
Subject Иван Кожедуб E230856 entity
Predicate количество подтверждённых воздушных побед P12250 FINISHED
Object 62 LITERAL 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: 62 | Statement: [Иван Кожедуб, количество подтверждённых воздушных побед, 62]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: количество подтверждённых воздушных побед
Context triple: [Иван Кожедуб, количество подтверждённых воздушных побед, 62]
  • A. numberOfAerialVictories chosen
    Indicates the count of successful aerial combat victories achieved by an entity over opposing aircraft.
  • B. estimatedAerialVictories
    Indicates an approximate count of aerial combat victories attributed to an entity, rather than an exact, confirmed total.
  • C. typeOfAerialVictories
    Indicates the specific category or classification of aerial victories associated with an entity.
  • D. airSuperiorityAchievedBy
    Indicates that one entity has gained dominant control of the airspace over another entity or area, typically through superior air power or air defense capabilities.
  • E. airSuperiorityContribution
    Indicates the extent to which an entity contributes to achieving or maintaining control of the airspace over a given area or conflict.
  • F. None of above.

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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9987cb0c8190af32a1193de54890 completed April 1, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69ccd59b960c8190966a8870a2426bd5 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:04 p.m.