Triple

T11928384
Position Surface form Disambiguated ID Type / Status
Subject North Western Province, Sri Lanka E283844 entity
Predicate significantEconomicSector P47145 FINISHED
Object agriculture 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: agriculture | Statement: [North Western Province, Sri Lanka, significantEconomicSector, agriculture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: significantEconomicSector
Context triple: [North Western Province, Sri Lanka, significantEconomicSector, agriculture]
  • A. economicSectorDominant
    Indicates that one economic sector holds a leading or controlling position relative to others in terms of influence, output, or importance.
  • B. associatedWithEconomicSector chosen
    Indicates that an entity has a connection or involvement with a particular economic sector, such as operating, participating, or being relevant within that sector.
  • C. economicSectorSourceOfWealth
    Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
  • D. notableSector
    Indicates that an entity is particularly prominent, influential, or significant within a specified sector or industry.
  • E. hasIndustrialSector
    Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903024afc8190a97aa3263dc7d017 completed April 10, 2026, 2:02 p.m.
PD Predicate disambiguation batch_69d8bb3af0188190bfb22be5c97b3349 completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:45 p.m.