Triple

T29607919
Position Surface form Disambiguated ID Type / Status
Subject First Tetralogy E754627 entity
Predicate chronologicalOrderInEnglishHistoryPlays P127082 FINISHED
Object earliest sequence 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: earliest sequence | Statement: [First Tetralogy, chronologicalOrderInEnglishHistoryPlays, earliest sequence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: chronologicalOrderInEnglishHistoryPlays
Context triple: [First Tetralogy, chronologicalOrderInEnglishHistoryPlays, earliest sequence]
  • A. chronologicalOrderInALHistory
    Indicates that one event or action in an AL (Action/Activity/Agent-Log) history occurs earlier or later than another, specifying their relative chronological sequence.
  • B. chronologyIn
    Indicates that one event or temporal entity occurs within the chronological scope or timeframe defined by another.
  • C. eraChronology
    Indicates the temporal ordering relationship that places an era within a specific position in a broader historical or chronological sequence.
  • D. chronologyOf
    Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
  • E. chronologicallyOrders chosen
    Indicates that one entity arranges or sequences other entities according to their positions in time, from earlier to later.
  • 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_69f0ef85f62081909842b59fdf8717e1 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f7979a073881909a4fde2558e6b6f3 completed May 3, 2026, 6:44 p.m.
PD Predicate disambiguation batch_69f7961550f88190b7bb8a9155458b54 completed May 3, 2026, 6:38 p.m.
Created at: April 28, 2026, 6:26 p.m.