Triple

T12166017
Position Surface form Disambiguated ID Type / Status
Subject Arugba E289834 entity
Predicate sexualPurityRequirement P28843 FINISHED
Object virgin 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: virgin | Statement: [Arugba, sexualPurityRequirement, virgin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sexualPurityRequirement
Context triple: [Arugba, sexualPurityRequirement, virgin]
  • A. requiresEvangelicalCounsels
    Indicates that one entity is obligated to observe or adhere to the evangelical counsels (typically poverty, chastity, and obedience) in relation to another entity or context.
  • B. refersToVirginity chosen
    Indicates that something is about or explicitly references the state or concept of virginity.
  • C. requiresConfessionOf
    Indicates that one entity mandates or conditions something upon another entity making a confession.
  • D. vowedCelibacyWith
    Indicates a mutual commitment between entities to abstain from sexual or romantic relationships, typically formalized as a shared vow of celibacy.
  • E. hasSexualityCharacteristic
    Indicates that an entity possesses a specific sexual orientation or sexuality-related characteristic.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91621ca6c81908365732f361aef13 completed April 10, 2026, 3:24 p.m.
PD Predicate disambiguation batch_69d9150e85348190b9b47cda4a17dcd0 completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:50 p.m.