Triple

T1810979
Position Surface form Disambiguated ID Type / Status
Subject Kraftt E40329 entity
Predicate hasOrthographicCharacteristic P12752 FINISHED
Object double final consonant "tt" 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: double final consonant "tt" | Statement: [Kraftt, hasOrthographicCharacteristic, double final consonant "tt"]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOrthographicCharacteristic
Context triple: [Kraftt, hasOrthographicCharacteristic, double final consonant "tt"]
  • A. hasOrthographicPreference
    Indicates that one entity prefers or selects a particular written or spelling form of another entity.
  • B. orthographicProperty chosen
    Indicates a relationship where a specific written or spelling-related characteristic is attributed to or associated with an entity.
  • C. hasOrthographicReform
    Indicates that an entity has undergone or is associated with a change or standardization in its writing system or spelling conventions.
  • D. orthographicRole
    Indicates the functional role that a written form or spelling plays within an orthographic system (e.g., as a letter, diacritic, punctuation mark, or other script element).
  • E. hasOrientation
    Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab694d75ac8190a4d61399c04b9fb9 completed March 6, 2026, 11:54 p.m.
PD Predicate disambiguation batch_69aa61d6b8ec8190a1597b2e44ea6534 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:32 p.m.