Triple

T1119644
Position Surface form Disambiguated ID Type / Status
Subject Montgomery Improvement Association E11179 entity
Predicate resultOfActivities P374 FINISHED
Object federal court ruling against bus segregation in Montgomery 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: federal court ruling against bus segregation in Montgomery | Statement: [Montgomery Improvement Association, resultOfActivities, federal court ruling against bus segregation in Montgomery]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resultOfActivities
Context triple: [Montgomery Improvement Association, resultOfActivities, federal court ruling against bus segregation in Montgomery]
  • A. activity
    Indicates that an entity is engaged in or performing a particular action, behavior, or process.
  • B. activityType
    Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
  • C. result chosen
    Indicates that one entity is produced, caused, or brought about as an outcome or consequence of another entity or process.
  • D. activityTime
    Indicates the time period during which an activity occurs or is scheduled to take place.
  • E. peakActivity
    Indicates that an entity is at its highest or most intense level of activity within a given period or 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bc4bc21881909dcfe628f59f3e8c completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb4562f48190831e959f5f309956 completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:43 p.m.