Triple

T30155430
Position Surface form Disambiguated ID Type / Status
Subject 长江 E766507 entity
Predicate 气候类型多样性 P29133 FINISHED
Object 从高原寒带到亚热带湿润气候 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: 从高原寒带到亚热带湿润气候 | Statement: [长江, 气候类型多样性, 从高原寒带到亚热带湿润气候]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 气候类型多样性
Context triple: [长江, 气候类型多样性, 从高原寒带到亚热带湿润气候]
  • A. 立地特性
    Indicates the characteristics or qualities of a location that define its situational conditions or advantages in relation to its surroundings.
  • B. climatologicalType chosen
    Indicates the classification of a climate or weather pattern that characterizes a place, period, or condition.
  • C. shareClimateZones
    Indicates that two entities are located in regions classified under the same climate zone or zones.
  • D. climateTypeRelativeToIsland
    Indicates how the climate of one location compares to or is characterized relative to the climate of a specified island.
  • E. hasClimateGradient
    Indicates that there is a systematic change in climate characteristics across a spatial or environmental range between the related entities.
  • 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_69f22479cd088190ab4c6f3fce39d1c5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67ed72fb08190955d6bfd90dd3b8e completed May 2, 2026, 10:46 p.m.
PD Predicate disambiguation batch_69f673c7a4588190837854f3ef61e6bf completed May 2, 2026, 9:59 p.m.
Created at: April 29, 2026, 7:20 p.m.