Triple

T7298285
Position Surface form Disambiguated ID Type / Status
Subject Cocaine E167778 entity
Predicate hasPrimaryEffect P1634 FINISHED
Object euphoria 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: euphoria | Statement: [Cocaine, hasPrimaryEffect, euphoria]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryEffect
Context triple: [Cocaine, hasPrimaryEffect, euphoria]
  • A. primaryEffect chosen
    Indicates the main direct outcome or consequence that results from a given cause, action, or condition.
  • B. hasIntendedEffect
    Indicates that one entity is expected or designed to produce a particular effect or outcome on another entity or context.
  • C. hasEnergyBalanceEffect
    Indicates that one entity produces an effect on the energy balance or energy regulation of another entity or system.
  • D. hasPrimaryFunction
    Indicates that one entity serves as the main or principal function or role of another entity.
  • E. notableEffect
    Indicates that one entity has a significant impact, consequence, or influence on another entity or situation.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb8f83c881909e8eae85410f9659 completed March 27, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69c6e76e67d88190bd3ca6864f45845a completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 3 p.m.