Triple

T28373846
Position Surface form Disambiguated ID Type / Status
Subject 竹山县 E718702 entity
Predicate 经济类型 P32182 FINISHED
Object 以农业为主 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: 以农业为主 | Statement: [竹山县, 经济类型, 以农业为主]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 经济类型
Context triple: [竹山县, 经济类型, 以农业为主]
  • A. economicClassification
    Indicates how an entity is categorized based on its economic characteristics, status, or role within an economic system.
  • B. regionalEconomyType chosen
    Indicates the type or classification of an economy associated with a specific region.
  • C. economicSectorDominant
    Indicates that one economic sector holds a leading or controlling position relative to others in terms of influence, output, or importance.
  • D. economicEnterprise
    Indicates a relationship where an entity functions as or is involved in an organization engaged in the production, distribution, or exchange of goods or services for economic gain.
  • E. economicSystem
    Indicates the type or structure of the economic organization or system under which an entity operates or to which it belongs.
  • 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_69eff6ee5afc8190bd7375a29f0cc6c6 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64c5c0ba081908d836393db68b842 completed May 2, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69f641e2f1708190b45b48d6a43c51d2 completed May 2, 2026, 6:26 p.m.
Created at: April 28, 2026, 1:01 a.m.