Triple

T25210555
Position Surface form Disambiguated ID Type / Status
Subject Big Four fashion weeks E631672 entity
Predicate typicalSeasonLeadTime P164641 FINISHED
Object approximately six months ahead of retail season 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: approximately six months ahead of retail season | Statement: [Big Four fashion weeks, typicalSeasonLeadTime, approximately six months ahead of retail season]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalSeasonLeadTime
Context triple: [Big Four fashion weeks, typicalSeasonLeadTime, approximately six months ahead of retail season]
  • A. leadTimeTypical chosen
    Indicates the usual or standard amount of time that typically elapses between the initiation of a process or request and its completion or delivery.
  • B. typicalSeasonTiming
    Indicates the usual time period or season during which something normally occurs or is expected to take place.
  • C. typicalDurationDays
    Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
  • D. typicalStartSeason
    Indicates the season during which something (such as an activity, event, or phenomenon) usually begins.
  • E. typicalDelivery
    Indicates the usual or standard way in which something is delivered, reflecting the most common delivery method or pattern in that 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_69e75a8d1aa48190a4320acd3654762c completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f7cec454a88190a9f3bbee2b856636 completed May 3, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69f7c8977c288190997a892ec5f756ed completed May 3, 2026, 10:13 p.m.
Created at: April 21, 2026, 12:58 p.m.