Triple

T9443718
Position Surface form Disambiguated ID Type / Status
Subject Hassaniya Arabic E227709 entity
Predicate phonologicalTrait P48839 FINISHED
Object frequent realization of /q/ as [g] — 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: frequent realization of /q/ as [g] | Statement: [Hassaniya Arabic, phonologicalTrait, frequent realization of /q/ as [g]]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: phonologicalTrait
Context triple: [Hassaniya Arabic, phonologicalTrait, frequent realization of /q/ as [g]]
  • A. hasPhonologicalDescription
    Indicates that an entity is associated with a specific representation or description of its sound structure or phonological form.
  • B. hasPhonologicalParameters chosen
    Indicates that an entity is associated with specific phonological features or parameters that characterize its sound structure.
  • C. vocalizationCharacteristic
    Indicates how an entity’s vocal sounds are characterized, such as their quality, style, or distinctive acoustic features.
  • D. phoneticValue
    Indicates a relationship where a symbol, sign, or written element is associated with the specific sound or sequence of sounds it represents.
  • E. hasPhonologicalType
    Indicates that one entity is characterized by or classified as having a particular phonological type (e.g., in terms of sound structure or phonological category).
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f3171248190b92ab990371e63f5 completed April 1, 2026, 8:25 p.m.
PD Predicate disambiguation batch_69cca5596ffc819097e9c8eefd4ef9b8 completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:51 p.m.