Triple

T1299024
Position Surface form Disambiguated ID Type / Status
Subject Battle of Mokra E27718 entity
Predicate polishObjective P28404 FINISHED
Object delay German armored advance 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: delay German armored advance | Statement: [Battle of Mokra, polishObjective, delay German armored advance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: polishObjective
Context triple: [Battle of Mokra, polishObjective, delay German armored advance]
  • A. polishUnit
    Indicates that one entity performs the action of polishing or refining another entity, typically improving its surface, appearance, or quality.
  • B. AustrianObjective
    Indicates that an entity has an objective, goal, or purpose specifically associated with Austria or Austrian context.
  • C. protectionObjective
    Indicates that one entity has the goal or purpose of safeguarding, defending, or preserving another entity or its interests.
  • D. opponentObjective
    Indicates that one entity is the target or goal that an opposing entity aims to counter, defeat, or prevent from succeeding.
  • E. PrussianObjective
    Indicates that an entity has the goal, target, or strategic objective of achieving or advancing something specifically related to Prussia or Prussian interests.
  • F. None of above. chosen

Provenance (4 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bee64d908190b6a9bb479959d523 completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c3b9ebdc819098de4d3288201bc1 completed March 1, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:51 p.m.