Triple

T28231570
Position Surface form Disambiguated ID Type / Status
Subject Private: The Chicago Story E711756 entity
Predicate hasSubseriesRelation P52438 FINISHED
Object Chicago branch stories within the Private series 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: Chicago branch stories within the Private series | Statement: [Private: The Chicago Story, hasSubseriesRelation, Chicago branch stories within the Private series]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubseriesRelation
Context triple: [Private: The Chicago Story, hasSubseriesRelation, Chicago branch stories within the Private series]
  • A. belongsToSubseries chosen
    Indicates that one item is part of, or contained within, a more specific subseries of a larger series or collection.
  • B. hasSubSeries
    Indicates that one series is a subordinate or component series within a larger parent series.
  • C. hasParentSeries
    Indicates that a work or item belongs to, or is derived from, a broader parent series.
  • D. submultipleRelation
    Indicates that one quantity is an exact submultiple of another, meaning it divides the other quantity into an integer number of equal parts.
  • E. hasSubcategoryRelation
    Indicates that one category is a more specific subdivision or subset of another broader category.
  • 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_69efb51ece308190b8c269a057e36652 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69fd0d0ba5c48190bddb3f0e6637544c completed May 7, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69fd0c4324a8819086c90adf46216e0e completed May 7, 2026, 10:03 p.m.
Created at: April 27, 2026, 10:52 p.m.