Triple

T30031192
Position Surface form Disambiguated ID Type / Status
Subject 博斯腾湖 E763020 entity
Predicate 周边植被类型 P953 FINISHED
Object 芦苇 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: 芦苇 | Statement: [博斯腾湖, 周边植被类型, 芦苇]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 周边植被类型
Context triple: [博斯腾湖, 周边植被类型, 芦苇]
  • A. vegetationType chosen
    Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
  • B. 立地特性
    Indicates the characteristics or qualities of a location that define its situational conditions or advantages in relation to its surroundings.
  • C. 生态定位
    Indicates the ecological role or niche an organism occupies within its environment, including its functional position and interactions in the ecosystem.
  • D. vegetationStructure
    Indicates the structural characteristics or arrangement of plant life in an area, such as its layering, density, or complexity.
  • E. landscapeType
    Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
  • 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_69f2246fb2b88190acff36bf7975c8f0 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f679afd2a88190856acb9e2d1f87d3 completed May 2, 2026, 10:24 p.m.
PD Predicate disambiguation batch_69f66ec9919881908a187bfc7c4df192 completed May 2, 2026, 9:38 p.m.
Created at: April 29, 2026, 6:50 p.m.