Triple

T38325080
Position Surface form Disambiguated ID Type / Status
Subject 北海公园 E1036760 entity
Predicate 水域面积占比 P19315 FINISHED
Object 较大 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: 较大 | Statement: [北海公园, 水域面积占比, 较大]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 水域面积占比
Context triple: [北海公园, 水域面积占比, 较大]
  • A. areaWaterPercentage chosen
    Indicates the proportion of an entity’s total area that is covered by water, typically expressed as a percentage.
  • B. 流域覆盖区域
    Indicates the geographic area that is encompassed or drained by a particular river basin.
  • C. hasAreaWaterBody
    Indicates that an entity includes, contains, or is associated with a body of water within its area or boundaries.
  • D. inlandWaterPercentage
    Indicates the proportion of a geographic area’s total surface that is covered by inland water bodies such as lakes, rivers, and reservoirs.
  • E. areaWater
    Indicates the relationship between a geographic entity and the total area of its surface that is covered by water.
  • 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_69f76e1c16fc8190bde982289dd5106b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fccbd826708190b5fab12c4236299a completed May 7, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69fcc58838e08190b8fa54aa5c165f2d completed May 7, 2026, 5:02 p.m.
Created at: May 3, 2026, 4:30 p.m.