Triple

T16783242
Position Surface form Disambiguated ID Type / Status
Subject Second Battle of the Aisne E407905 entity
Predicate commandChangeConsequence P98798 FINISHED
Object dismissal of Robert Nivelle 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: dismissal of Robert Nivelle | Statement: [Second Battle of the Aisne, commandChangeConsequence, dismissal of Robert Nivelle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commandChangeConsequence
Context triple: [Second Battle of the Aisne, commandChangeConsequence, dismissal of Robert Nivelle]
  • A. hasConsequence
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • B. significantEventConsequence chosen
    Indicates that one event leads to an important or impactful consequence for another event, state, or entity.
  • C. sequenceDifferenceConsequence
    Indicates that a difference or variation in a sequence leads to, or results in, a particular consequence or outcome.
  • D. announcedConsequence
    Indicates that one entity has publicly stated or declared a specific outcome or consequence that will result from an action, event, or condition.
  • E. narrativeConsequence
    Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b218d31881908d896e688ebd171c completed April 18, 2026, 4:32 p.m.
PD Predicate disambiguation batch_69e319cf691c819083e39225f5777ef0 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:22 a.m.