Triple

T12273882
Position Surface form Disambiguated ID Type / Status
Subject Ferdl E292537 entity
Predicate nameLengthInCharacters P32078 FINISHED
Object 5 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: 5 | Statement: [Ferdl, nameLengthInCharacters, 5]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nameLengthInCharacters
Context triple: [Ferdl, nameLengthInCharacters, 5]
  • A. nameLengthInKanji
    Indicates the number of kanji characters used in an entity’s name.
  • B. identifierLength
    Indicates the length or number of characters in an entity’s identifier.
  • C. typicalNameLength
    Indicates the usual or characteristic number of characters in the names of entities in a given context.
  • D. numberOfCharacters chosen
    Indicates the total count of individual characters present in a given text, string, or entity’s representation.
  • E. hasNameLengthCategory
    Indicates that an entity is associated with a classification describing the length of its name (e.g., short, medium, long).
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d9380a5e78819086bd4dfe9a83d1f5 completed April 10, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69d91c4a66cc819083ce6fcaf5042af6 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:52 p.m.