Triple

T14565532
Position Surface form Disambiguated ID Type / Status
Subject 東沙環礁 E341773 entity
Predicate 氣候類型 P193 FINISHED
Object 熱帶季風氣候 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: 熱帶季風氣候 | Statement: [東沙環礁, 氣候類型, 熱帶季風氣候]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 氣候類型
Context triple: [東沙環礁, 氣候類型, 熱帶季風氣候]
  • A. climatologicalType
    Indicates the classification of a climate or weather pattern that characterizes a place, period, or condition.
  • B. shareClimateZones
    Indicates that two entities are located in regions classified under the same climate zone or zones.
  • C. hasClimate chosen
    Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
  • D. climatologicalRegion
    Indicates that one entity is a climatological region associated with, or characterizing the climate of, another entity.
  • E. hasClimateContext
    Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38c6350819091090ffd15772f6f completed April 14, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69de5c57489c8190b57917be1dba6ae6 completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:23 a.m.