Triple

T13073687
Position Surface form Disambiguated ID Type / Status
Subject Gamay E329516 entity
Predicate hasPrimarySectors P20603 FINISHED
Object fisheries 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: fisheries | Statement: [Gamay, hasPrimarySectors, fisheries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimarySectors
Context triple: [Gamay, hasPrimarySectors, fisheries]
  • A. hasSecondaryIndustry
    Indicates that an entity is associated with an additional, non-primary industry in which it operates or participates.
  • B. hasTertiaryEconomicSector
    Indicates that an entity participates in or possesses activities belonging to the tertiary (service) sector of the economy, such as services rather than primary or secondary production.
  • C. hasIndustrialSector chosen
    Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
  • D. hasServiceSectorDominance
    Indicates that the service sector constitutes the largest or most influential portion of an entity’s overall economic or operational activity.
  • E. hasSectoralPriority
    Indicates that something is designated as having priority or special importance within a particular sector or industry.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d981160e388190bab942a2ded2903e completed April 10, 2026, 11 p.m.
PD Predicate disambiguation batch_69d9803d46688190bac6b7d208f08d01 completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9 p.m.