Triple

T36293565
Position Surface form Disambiguated ID Type / Status
Subject Malungon E893296 entity
Predicate hasEconomyCategory P7347 FINISHED
Object agricultural economy 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: agricultural economy | Statement: [Malungon, hasEconomyCategory, agricultural economy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEconomyCategory
Context triple: [Malungon, hasEconomyCategory, agricultural economy]
  • A. hasEconomyCharacteristic
    Indicates that an economy possesses a particular attribute, feature, or quality.
  • B. hasEconomicBrand
    Indicates that one entity possesses, is associated with, or operates under a particular economic brand or commercial identity.
  • C. economyIncludes chosen
    Indicates that an economy encompasses, contains, or is composed of the specified component, sector, or element.
  • 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_69f76e4a61f0819084a2b68dbbb4efc6 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7be9d07ac8190adf796cbef60daf6 completed May 3, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69f7bcccd7988190aa5c931ff347d33c completed May 3, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:09 p.m.