Triple

T19221754
Position Surface form Disambiguated ID Type / Status
Subject Gelli E480630 entity
Predicate hasPrimaryEconomicActivityHistorical P10778 FINISHED
Object mining 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: mining | Statement: [Gelli, hasPrimaryEconomicActivityHistorical, mining]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryEconomicActivityHistorical
Context triple: [Gelli, hasPrimaryEconomicActivityHistorical, mining]
  • A. hasEconomicActivityInAntiquity
    Indicates that an entity engaged in or was associated with economic activities (such as trade, production, or commerce) during ancient historical periods.
  • B. historicalEconomicBase chosen
    Indicates the primary type of economic activity or production that historically underpinned or sustained an entity’s economy.
  • C. hasTraditionalEconomyActivity
    Indicates that an entity engages in or is associated with economic activities based on traditional practices, customs, or subsistence methods.
  • D. hasHistoricIndustry
    Indicates that an entity has been associated with a notable or historically significant industry or industrial activity in the past.
  • E. formerEconomicActivity
    Indicates that an entity previously engaged in a specified economic activity but no longer does so.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3fa9348190920f9d41b8beb900 completed April 20, 2026, 10:04 a.m.
PD Predicate disambiguation batch_69e4dcfae6f081909cc173cf71a5005c completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:24 p.m.