Triple

T14041373
Position Surface form Disambiguated ID Type / Status
Subject Noyyal E337854 entity
Predicate likelyEconomyType P32182 FINISHED
Object rural 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: rural | Statement: [Noyyal, likelyEconomyType, rural]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: likelyEconomyType
Context triple: [Noyyal, likelyEconomyType, rural]
  • A. regionalEconomyType chosen
    Indicates the type or classification of an economy associated with a specific region.
  • B. economicExtensionOf
    Indicates that one entity’s economy is heavily dependent on, controlled by, or functions as an outgrowth of another entity’s economic system.
  • C. economyIncludes
    Indicates that an economy encompasses, contains, or is composed of the specified component, sector, or element.
  • D. hasEconomyCharacteristic
    Indicates that an economy possesses a particular attribute, feature, or quality.
  • E. 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.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de311814e48190adb637e1c97c0658 completed April 14, 2026, 12:20 p.m.
PD Predicate disambiguation batch_69de05ab36b48190920efb1869bdb1fe completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:20 p.m.