Triple

T15144935
Position Surface form Disambiguated ID Type / Status
Subject Leuva Patidar E361780 entity
Predicate businessNetwork P71003 FINISHED
Object family-based trading and entrepreneurial networks 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: family-based trading and entrepreneurial networks | Statement: [Leuva Patidar, businessNetwork, family-based trading and entrepreneurial networks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: businessNetwork
Context triple: [Leuva Patidar, businessNetwork, family-based trading and entrepreneurial networks]
  • A. businessNetworkType chosen
    Indicates the category or nature of the business relationship or network that connects the involved entities.
  • B. businessFunction
    Indicates the specific role, activity, or operational function that an entity performs within a business context.
  • C. traditionalBaseFabric
    Indicates that one entity serves as the customary or historically used base fabric material for another entity.
  • D. businessManager
    Indicates that one entity serves as the business manager, overseeing and handling business affairs or operations, for another entity.
  • E. baseFabric
    Indicates that one entity serves as the fundamental fabric or material base from which another entity is made or constructed.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c71b688190b2e8ccfdf4db9037 completed April 15, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69deb9713fe881909dec2fd3f6c84b39 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:07 a.m.