Triple

T2945804
Position Surface form Disambiguated ID Type / Status
Subject Nowra E79496 entity
Predicate localEconomyBasedOn P32182 FINISHED
Object services 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: services | Statement: [Nowra, localEconomyBasedOn, services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: localEconomyBasedOn
Context triple: [Nowra, localEconomyBasedOn, services]
  • A. localEconomyImpact
    Indicates the effect that an action, event, or entity has on the economic conditions, activities, or performance of a specific local area or community.
  • B. regionalEconomyType chosen
    Indicates the type or classification of an economy associated with a specific region.
  • C. economicImpactRegion
    Indicates the region or geographic area that experiences or is affected by a particular economic impact.
  • D. placesWithin
    Indicates that one place or area is located entirely inside the boundaries of another place or area.
  • E. isEconomicCenter
    Indicates that an entity functions as a primary hub for economic activity, such as trade, finance, or industry, within a region or system.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b3f86c819094526c2af611bfb5 completed March 8, 2026, 3:41 p.m.
PD Predicate disambiguation batch_69ad960a70ac8190816b5ae3e8631031 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:56 p.m.