Triple

T33243625
Position Surface form Disambiguated ID Type / Status
Subject Pingyang County E851032 entity
Predicate hasEconomicDevelopmentStatus P122166 FINISHED
Object developing 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: developing | Statement: [Pingyang County, hasEconomicDevelopmentStatus, developing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEconomicDevelopmentStatus
Context triple: [Pingyang County, hasEconomicDevelopmentStatus, developing]
  • A. hasEconomicDevelopment
    Indicates that one entity possesses, experiences, or is characterized by a certain level or type of economic growth, progress, or improvement in its economic conditions.
  • B. hasEconomicLevel chosen
    Indicates that one entity possesses, is classified by, or is associated with a particular economic status or level.
  • C. isLessDevelopedThan
    Indicates that one entity has a lower level of development, progress, or advancement compared to another entity.
  • D. hasEconomicDimension
    Indicates that something involves, affects, or is characterized by economic factors, considerations, or consequences.
  • E. economyStatus
    Indicates the current economic condition or level of prosperity associated with an entity, such as its financial health, growth, or stability.
  • 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_69f34962386c81909ddc3bf9e18ddeb8 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6f8164698819090c1b471f1caa4c6 completed May 3, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69f6f6619404819084662aef1238261c completed May 3, 2026, 7:16 a.m.
Created at: May 1, 2026, 1:31 a.m.