Triple

T8217632
Position Surface form Disambiguated ID Type / Status
Subject Orel salient E191974 entity
Predicate statusAfterOffensive P127 FINISHED
Object front line straightened in favor of the Red Army 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: front line straightened in favor of the Red Army | Statement: [Orel salient, statusAfterOffensive, front line straightened in favor of the Red Army]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusAfterOffensive
Context triple: [Orel salient, statusAfterOffensive, front line straightened in favor of the Red Army]
  • A. offense
    Indicates that one entity commits, causes, or is responsible for a violation, wrongdoing, or rule-breaking act against another entity or governing norms.
  • B. usedOffensiveSystem
    Indicates that an entity employed an offensive system (such as a weapon or attack mechanism) against another entity or target.
  • C. statusAfterExile
    Indicates the condition or standing an entity has once a period of exile has ended.
  • D. controlledAfter
    Indicates that one entity gains or maintains control over another entity only after a specified time, event, or condition has occurred.
  • E. status chosen
    Indicates the current condition, state, or standing of an entity 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb776f41108190bed1c6a8ddbea374 completed March 31, 2026, 7:27 a.m.
PD Predicate disambiguation batch_69cb36af41e081909dee92b9bc4947f1 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:45 p.m.