Triple

T23902543
Position Surface form Disambiguated ID Type / Status
Subject Sakata model E601091 entity
Predicate reasonForSupersession P56544 FINISHED
Object discovery of quarks 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: discovery of quarks | Statement: [Sakata model, reasonForSupersession, discovery of quarks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForSupersession
Context triple: [Sakata model, reasonForSupersession, discovery of quarks]
  • A. wasSupersededBy
    Indicates that one entity has been replaced or made obsolete by another entity that takes over its role or function.
  • B. statusAfterSupersession
    Indicates the status or condition an entity holds after it has been superseded by another entity.
  • C. replacedBecause chosen
    Indicates that one entity has been substituted for another specifically due to a particular reason or cause.
  • D. reasonForSuppression
    Indicates the justification or cause for which something (such as information, data, or content) has been withheld, hidden, or prevented from being shown or used.
  • E. supersededInPrecisionBy
    Indicates that one entity’s level of precision has been replaced or overtaken by another entity’s greater precision.
  • 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_69e295364a488190bcac702e9bb7f764 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cddf46948190b8625811725fe41d completed April 29, 2026, 9:22 a.m.
PD Predicate disambiguation batch_69f1614e24b48190a1c8fb5b7c75ee0f completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 8:26 p.m.