Triple

T11620972
Position Surface form Disambiguated ID Type / Status
Subject Pro Preferred E275634 entity
Predicate typicalUserLevel P90637 FINISHED
Object advanced 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: advanced | Statement: [Pro Preferred, typicalUserLevel, advanced]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalUserLevel
Context triple: [Pro Preferred, typicalUserLevel, advanced]
  • A. typicalExperienceLevel chosen
    Indicates the usual or most common level of experience associated with an entity in a given context.
  • B. commonLevel
    Indicates that two or more entities share the same level, rank, or hierarchical position within a given system or structure.
  • C. traditionalUser
    Indicates that a user engages with or is characterized by conventional, established, or customary practices, behaviors, or methods.
  • D. typicalEquipmentLevel
    Indicates the usual or standard amount or quality of equipment associated with an entity or situation.
  • E. typicalGradeLevel
    Indicates the usual or most common educational grade level at which something (such as a concept, resource, or skill) is intended to be taught or is typically encountered.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1206f1c81908d92024ef71958c0 completed April 10, 2026, 7:05 a.m.
PD Predicate disambiguation batch_69d85dd6503c819081f9045e9d5c4f3f completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:39 p.m.