Triple

T4964104
Position Surface form Disambiguated ID Type / Status
Subject Pennsylvania and New Jersey E111477 entity
Predicate shareClimateCharacteristics P56680 FINISHED
Object humid continental climate in many areas 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: humid continental climate in many areas | Statement: [Pennsylvania and New Jersey, shareClimateCharacteristics, humid continental climate in many areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shareClimateCharacteristics
Context triple: [Pennsylvania and New Jersey, shareClimateCharacteristics, humid continental climate in many areas]
  • A. shareClimateZones chosen
    Indicates that two entities are located in regions classified under the same climate zone or zones.
  • B. hasClimate
    Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
  • C. hasClimateContext
    Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
  • D. climaticChallenge
    Indicates a relationship where an entity faces, contributes to, or is affected by significant difficulties or stresses arising from climate or weather conditions.
  • E. hasExtremeWeatherCharacteristic
    Indicates that something possesses a notable or defining feature related to extreme weather conditions.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd72e49b048190bac55d9e7a6f7963 completed March 20, 2026, 4:16 p.m.
PD Predicate disambiguation batch_69bd71447fe88190bb62c5e8753da7a7 completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:32 p.m.