Triple

T2404896
Position Surface form Disambiguated ID Type / Status
Subject Cook’s Meadow E50252 entity
Predicate hasSeasonalConditions P955 FINISHED
Object can be wet or snowy in winter and spring 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: can be wet or snowy in winter and spring | Statement: [Cook’s Meadow, hasSeasonalConditions, can be wet or snowy in winter and spring]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSeasonalConditions
Context triple: [Cook’s Meadow, hasSeasonalConditions, can be wet or snowy in winter and spring]
  • A. hasSeasonalNature
    Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
  • B. hasSeasonalStatus
    Indicates that an entity’s status, availability, or condition varies according to a particular season or time of year.
  • C. hasSeasonalEvents
    Indicates that an entity organizes or experiences events that occur only during specific seasons or times of the year.
  • D. hasSeasonalPattern chosen
    Indicates that the occurrence, intensity, or characteristics of something regularly vary according to a recurring seasonal cycle.
  • E. hasSeasonalHighlight
    Indicates that something features a notable or emphasized aspect during a particular season or time of year.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abceab9ce881909ae0a2f34515c11e completed March 7, 2026, 7:07 a.m.
PD Predicate disambiguation batch_69abc5a530e8819094105aa92dfaf6b3 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:58 p.m.