Triple

T228312
Position Surface form Disambiguated ID Type / Status
Subject Turkish alphabet E4358 entity
Predicate containsLetter P5716 FINISHED
Object A 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 | Statement: [Turkish alphabet, containsLetter, A]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsLetter
Context triple: [Turkish alphabet, containsLetter, A]
  • A. hasLetterBy
    Indicates that an entity possesses or is associated with a letter authored or sent by another entity.
  • B. containsCharacter chosen
    Indicates that one entity includes a specific character as part of its content or composition.
  • C. hasLetterCount
    Indicates that an entity is associated with a specific number representing how many letters it contains.
  • D. hasNumberOfLetters
    Indicates a relationship where an entity is associated with the count of letters it contains.
  • E. hasLetterDesignation
    Indicates that an entity is assigned or associated with a specific letter-based designation or code.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25d10ac248190a98dedabf5358668 completed Feb. 28, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69a25b5877588190af694d060377f027 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.