Triple

T35005263
Position Surface form Disambiguated ID Type / Status
Subject JEL classification system E1009791 entity
Predicate hasTopLevelCodeFormat P133811 FINISHED
Object single capital letter 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: single capital letter | Statement: [JEL classification system, hasTopLevelCodeFormat, single capital letter]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTopLevelCodeFormat
Context triple: [JEL classification system, hasTopLevelCodeFormat, single capital letter]
  • A. hasTopLevel
    Indicates that one entity is the highest or primary element within a hierarchy or structure relative to another entity.
  • B. topLevelCodePrefix chosen
    Indicates that one code serves as a primary or highest-level prefix from which another, more specific code is derived or categorized.
  • C. hasUpperLevelFunction
    Indicates that one function operates at a higher or more abstract level than another function within a hierarchical relationship.
  • D. hasCodeIn
    Indicates that one entity is represented, defined, or implemented within the codebase or coding context of another entity.
  • E. hasCodeElementsFor
    Indicates a relationship where one entity contains, defines, or is associated with specific code elements (such as classes, methods, or functions) that implement or support another entity.
  • 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_69f76dcb716881909f75e4fd60ab2284 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fd3a69f1e08190a11aed015bff0858 completed May 8, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69fd39124180819080ca7911d3515d6d completed May 8, 2026, 1:14 a.m.
Created at: May 3, 2026, 4:01 p.m.