Triple

T36095172
Position Surface form Disambiguated ID Type / Status
Subject 狮子林 E1044039 entity
Predicate 水面面积比例 P19315 FINISHED
Object 约三分之一 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: 约三分之一 | Statement: [狮子林, 水面面积比例, 约三分之一]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 水面面积比例
Context triple: [狮子林, 水面面积比例, 约三分之一]
  • A. areaWaterPercentage chosen
    Indicates the proportion of an entity’s total area that is covered by water, typically expressed as a percentage.
  • B. reservoirSurfaceArea
    Indicates the total area covered by the surface of a reservoir.
  • C. 流域覆盖区域
    Indicates the geographic area that is encompassed or drained by a particular river basin.
  • D. hasAreaWaterBody
    Indicates that an entity includes, contains, or is associated with a body of water within its area or boundaries.
  • E. inlandWaterPercentage
    Indicates the proportion of a geographic area’s total surface that is covered by inland water bodies such as lakes, rivers, and reservoirs.
  • 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_69f76e32d60c8190ba781ffaaab4aa3d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b3e2f3c08190be4fd1ae4fa1266d completed May 3, 2026, 8:45 p.m.
PD Predicate disambiguation batch_69f7b1bcc47081909fe7d592ac69006c completed May 3, 2026, 8:36 p.m.
Created at: May 3, 2026, 4:08 p.m.