Triple

T27519407
Position Surface form Disambiguated ID Type / Status
Subject FC Erzgebirge Aue E694663 entity
Predicate traditionalIndustryConnection P57376 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: [FC Erzgebirge Aue, traditionalIndustryConnection, mining]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalIndustryConnection
Context triple: [FC Erzgebirge Aue, traditionalIndustryConnection, mining]
  • A. industryConnection
    Indicates a professional or business relationship linking entities within the same or related industries, such as partnerships, collaborations, or shared sector involvement.
  • B. industryActivities
    Indicates the types of economic or business activities in which an industry or sector is engaged.
  • C. industryConsortium
    Indicates a collaborative association where multiple organizations formally join together within an industry to pursue shared goals, standards, or initiatives.
  • D. industryStart
    Indicates the point in time or event at which an industry, industrial activity, or industrial era begins.
  • E. cityIndustryAssociation chosen
    Indicates an associative relationship between a city and an industry, such as the industry being present, active, or economically significant in that city.
  • 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_69ef538550208190aa9de8e2cb260d93 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69fbaebc8f2c8190b94f1b4a3ec92e8c completed May 6, 2026, 9:12 p.m.
PD Predicate disambiguation batch_69fbadf1e6008190a71bbd196ba06844 completed May 6, 2026, 9:09 p.m.
Created at: April 27, 2026, 1:20 p.m.