Triple

T16150785
Position Surface form Disambiguated ID Type / Status
Subject Attini E391902 entity
Predicate agricultureType P4104 FINISHED
Object insect agriculture 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: insect agriculture | Statement: [Attini, agricultureType, insect agriculture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: agricultureType
Context triple: [Attini, agricultureType, insect agriculture]
  • A. agricultureUse
    Indicates that something is used for, involved in, or designated for agricultural activities or purposes.
  • B. agriculturalPractice chosen
    Indicates a relationship where an entity engages in, applies, or is associated with a specific method or technique of agriculture or farming.
  • C. agriculturalFocus
    Indicates that an entity is primarily concerned with, oriented toward, or specializing in agriculture or farming-related activities.
  • D. cultivationType
    Indicates the method or system by which something (typically crops or land) is cultivated or farmed.
  • E. agriculturalProduce
    Indicates that one entity is an agricultural product (such as crops or livestock-derived goods) produced by or associated with another entity.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d9724808190a8332987583a345a completed April 17, 2026, 11:46 a.m.
PD Predicate disambiguation batch_69e1828abb608190a99d86bce1d77de2 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:01 a.m.