Triple

T9688211
Position Surface form Disambiguated ID Type / Status
Subject Edu E234465 entity
Predicate lengthInCharacters P32078 FINISHED
Object 3 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: 3 | Statement: [Edu, lengthInCharacters, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lengthInCharacters
Context triple: [Edu, lengthInCharacters, 3]
  • A. graphicCharactersCount
    Indicates the number of printable (non-control) characters present in a given text or string.
  • B. lengthInWords
    Indicates the number of words that make up the length of something, typically a text or expression.
  • C. length
    Indicates a measurement relationship where a value specifies how long something is from one end to the other.
  • D. numberOfCharacters chosen
    Indicates the total count of individual characters present in a given text, string, or entity’s representation.
  • E. nameLengthInKanji
    Indicates the number of kanji characters used in an entity’s name.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d019d40819095059a4d6167900a completed April 1, 2026, 10:32 p.m.
PD Predicate disambiguation batch_69ccd5b840f081909f66bf0b66d17d9b completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:17 p.m.