Triple

T29610142
Position Surface form Disambiguated ID Type / Status
Subject 巴士海峽 E754691 entity
Predicate 氣候特徵 P193 FINISHED
Object 受季風影響明顯 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: 受季風影響明顯 | Statement: [巴士海峽, 氣候特徵, 受季風影響明顯]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 氣候特徵
Context triple: [巴士海峽, 氣候特徵, 受季風影響明顯]
  • A. hasClimate chosen
    Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
  • B. typicalWeatherFeature
    Indicates a weather condition or pattern that commonly characterizes a place or time period.
  • C. hasClimateContext
    Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
  • D. hasExtremeWeatherCharacteristic
    Indicates that something possesses a notable or defining feature related to extreme weather conditions.
  • E. averageClimateSeason
    Indicates the typical or prevailing climate conditions associated with a particular season in a given location.
  • 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_69f66dea375881909684db997861425c completed May 2, 2026, 9:34 p.m.
PD Predicate disambiguation batch_69f6659d36208190b01412600a4ed57d completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 6:28 p.m.