Triple

T2416486
Position Surface form Disambiguated ID Type / Status
Subject Monkombu E52314 entity
Predicate associatedWithProfessionOfBearer P35215 FINISHED
Object agricultural scientist 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: agricultural scientist | Statement: [Monkombu, associatedWithProfessionOfBearer, agricultural scientist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithProfessionOfBearer
Context triple: [Monkombu, associatedWithProfessionOfBearer, agricultural scientist]
  • A. isAssociatedWithProfessionOfBearer chosen
    Indicates that one entity is connected to, or involved with, the profession or occupational role held by another entity.
  • B. isAssociatedWith
    Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
  • C. associatedWithPractice
    Indicates a relationship in which an entity is connected or linked to a particular practice, activity, or customary way of doing something.
  • D. associatedWithWorkforce
    Indicates a relationship in which an entity is connected or related to a particular workforce, such as its members, activities, or management.
  • E. originallyAssociatedWith
    Indicates that an entity was first linked, connected, or affiliated with another entity before any later changes in association.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc94d048481908409d60129aef747 completed March 7, 2026, 6:44 a.m.
PD Predicate disambiguation batch_69abc5a6cbd0819086c0716e266b7ebb completed March 7, 2026, 6:28 a.m.
Created at: March 6, 2026, 9:42 p.m.