Triple

T2494885
Position Surface form Disambiguated ID Type / Status
Subject Emblem of Pakistan E52131 entity
Predicate hasWreath P11705 FINISHED
Object true 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: true | Statement: [Emblem of Pakistan, hasWreath, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWreath
Context triple: [Emblem of Pakistan, hasWreath, true]
  • A. crownedWith
    Indicates that one entity serves as a crown, top, or decorative upper covering placed upon another entity.
  • B. hasInsigniaWornBy
    Indicates that a particular insignia is worn by a specified entity (such as a person, group, or organization).
  • C. hasCrownCount
    Indicates the number of crowns that an entity possesses or is associated with.
  • D. wears
    Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
  • E. wornAround chosen
    Indicates that one entity is physically worn encircling or surrounding another entity (e.g., around a body part or object).
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd19541048190b9e39db119c20fe8 completed March 7, 2026, 7:19 a.m.
PD Predicate disambiguation batch_69abd0b980b481908d4932bcea4a6167 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:45 p.m.