Triple

T14565503
Position Surface form Disambiguated ID Type / Status
Subject 東沙環礁 E341773 entity
Predicate 陸地總面積 P53183 FINISHED
Object 約2.4平方公里 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: 約2.4平方公里 | Statement: [東沙環礁, 陸地總面積, 約2.4平方公里]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 陸地總面積
Context triple: [東沙環礁, 陸地總面積, 約2.4平方公里]
  • A. areaTotalSquareKilometers
    Indicates the total size of something measured in square kilometers.
  • B. landArea
    Indicates the total surface area of a piece of land associated with an entity, typically measured in standardized units (e.g., square meters, hectares).
  • C. meanSurfaceArea_km2
    Indicates the average surface area of an entity measured in square kilometers.
  • D. areaTotalSquareMiles
    Indicates the total geographic area of something measured in square miles.
  • E. hasLandAreaSquareKilometers chosen
    Indicates that an entity possesses a land area measured in square kilometers.
  • 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.