Triple

T14957635
Position Surface form Disambiguated ID Type / Status
Subject The Princess and the Pea E372971 entity
Predicate testObject P102649 FINISHED
Object a pea 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: a pea | Statement: [The Princess and the Pea, testObject, a pea]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: testObject
Context triple: [The Princess and the Pea, testObject, a pea]
  • A. testObjective
    Indicates that an entity serves as the goal, purpose, or intended outcome of a test or testing activity.
  • B. testElement chosen
    Indicates that an entity is an element used for testing, experimentation, or validation within a system or process.
  • C. testsSubject
    Indicates that one entity administers or performs a test or examination on another entity as its subject.
  • D. typicalObjectType
    Indicates that something is a common or characteristic type of object typically associated with or involved in another entity or situation.
  • E. test
    Indicates that an entity performs, undergoes, or is associated with a testing or examination process involving another entity or condition.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cc73848190ac181782b20dc838 completed April 15, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69de9a5d995881909e33658f5aea5582 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:40 a.m.