Triple

T27866007
Position Surface form Disambiguated ID Type / Status
Subject Monster Zero Ultra E704360 entity
Predicate containsZero P162706 FINISHED
Object sugar 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: sugar | Statement: [Monster Zero Ultra, containsZero, sugar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsZero
Context triple: [Monster Zero Ultra, containsZero, sugar]
  • A. haveZeros chosen
    Indicates that the related entity or value contains one or more zero elements (such as digits, entries, or components).
  • B. hasIndependentDigitZero
    Indicates that an entity possesses at least one digit or numeral component that is a zero considered as a distinct, standalone element.
  • C. isZeroFor
    Indicates that a given value, expression, or function evaluates to zero when applied to or considered with respect to a specified entity or context.
  • D. hasZeroPosition
    Indicates that an entity occupies or is assigned to the reference (zero) position within a defined coordinate system or ordered structure.
  • E. isZeroIf
    Indicates that a value or expression becomes zero when a specified condition holds or a particular argument takes a given value.
  • 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_69ef840f12408190b539d00d79658abf completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69fd553d7cb881908d243e7a9f30ac85 completed May 8, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69fd514dcb1c81908333c70d7edd79c9 completed May 8, 2026, 2:58 a.m.
Created at: April 27, 2026, 6:21 p.m.