Triple

T1599174
Position Surface form Disambiguated ID Type / Status
Subject Voronezh Front E34351 entity
Predicate roleAtKursk P9463 FINISHED
Object defended southern sector of Kursk salient 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: defended southern sector of Kursk salient | Statement: [Voronezh Front, roleAtKursk, defended southern sector of Kursk salient]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleAtKursk
Context triple: [Voronezh Front, roleAtKursk, defended southern sector of Kursk salient]
  • A. roleAtStalingrad
    Indicates the specific role, position, or function an entity held in relation to the Battle of Stalingrad.
  • B. roleInWarAndPeace
    Indicates that an entity has a specific role or function within the context of the War and Peace conflict or narrative.
  • C. positionOnRussia
    Indicates the stance, opinion, or policy that one entity holds regarding Russia.
  • D. militaryRole chosen
    Indicates the specific function, position, or duty an entity holds within a military organization or context.
  • E. role
    Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a916d413f08190a4e137e5ed262e25 completed March 5, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69a907bfb39c8190a31e0be14d3d52e6 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:27 p.m.