Triple

T17287061
Position Surface form Disambiguated ID Type / Status
Subject Soviet 1st Guards Tank Army E419684 entity
Predicate notableEngagementType P3663 FINISHED
Object large-scale armoured offensives 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: large-scale armoured offensives | Statement: [Soviet 1st Guards Tank Army, notableEngagementType, large-scale armoured offensives]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableEngagementType
Context triple: [Soviet 1st Guards Tank Army, notableEngagementType, large-scale armoured offensives]
  • A. notableEngagement
    Indicates a significant interaction, involvement, or participation between entities that is noteworthy or distinguished in some context.
  • B. engagementType chosen
    Indicates the specific kind or category of engagement or interaction that occurs between the related entities.
  • C. engagementOf
    Indicates a relationship where an engagement, commitment, or formal involvement is associated with or attributed to a specific entity.
  • D. notableTargetType
    Indicates that the subject is notable or significant specifically in relation to entities of the given target type.
  • E. notableDuring
    Indicates that something was especially prominent, active, or significant during a particular time period or event.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43780fad88190b82193c8335e2f11 completed April 19, 2026, 2:01 a.m.
PD Predicate disambiguation batch_69e3b0118ad08190b119cd219c68ba67 completed April 18, 2026, 4:23 p.m.
Created at: April 10, 2026, 5:40 a.m.