Triple

T19387459
Position Surface form Disambiguated ID Type / Status
Subject 1960 Paris Motor Show E484971 entity
Predicate chronologicalOrderWithinSeries P23880 FINISHED
Object mid-20th-century edition of Paris Motor Show 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: mid-20th-century edition of Paris Motor Show | Statement: [1960 Paris Motor Show, chronologicalOrderWithinSeries, mid-20th-century edition of Paris Motor Show]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: chronologicalOrderWithinSeries
Context triple: [1960 Paris Motor Show, chronologicalOrderWithinSeries, mid-20th-century edition of Paris Motor Show]
  • A. chronologicalOrderInSeries chosen
    Indicates that one entity appears earlier or later than another within an ordered sequence or series.
  • B. chronologicallyOrdered
    Indicates that the related entities are arranged in the order in which they occur in time.
  • C. chronologicallyOrders
    Indicates that one entity arranges or sequences other entities according to their positions in time, from earlier to later.
  • D. chronologySeries
    Indicates that one entity is part of, or defines, a chronological sequence or ordered series of events or items.
  • E. chronologicalOrderInSagas
    Indicates that the referenced sagas are arranged according to the sequence of events in their internal story chronology, rather than by publication or release order.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b418f148190972b7b46038bc744 completed April 20, 2026, 12:25 p.m.
PD Predicate disambiguation batch_69e4fd602f008190aa9bc76ae17e4ce1 completed April 19, 2026, 4:05 p.m.
Created at: April 10, 2026, 1:36 p.m.