Triple

T1251563
Position Surface form Disambiguated ID Type / Status
Subject Ataulfo mango E26886 entity
Predicate pulpQuality P7231 FINISHED
Object buttery 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: buttery | Statement: [Ataulfo mango, pulpQuality, buttery]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pulpQuality
Context triple: [Ataulfo mango, pulpQuality, buttery]
  • A. quality
    Indicates that an entity possesses a particular attribute, characteristic, or degree of excellence that defines how good, suitable, or effective it is in a given context.
  • B. fieldQuality chosen
    Indicates the assessed level or degree of quality associated with a particular field or attribute in a given context.
  • C. inkType
    Indicates the specific kind or category of ink associated with or used by an entity.
  • D. purity
    Indicates that an entity possesses a high degree of cleanliness, integrity, or freedom from contamination, corruption, or mixed elements.
  • E. printedOn
    Indicates that something is produced or reproduced in physical form on a specified material, surface, or medium.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf85e1e08190ba6aac3fcd8bb3e7 completed March 1, 2026, 10:36 p.m.
PD Predicate disambiguation batch_69a4bb6c977c8190a2bf3e8b67a59beb completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:47 p.m.