Triple
T8582837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawar alphabet |
E203224
|
entity |
| Predicate | phonemicPrinciple |
P75920
|
FINISHED |
| Object | roughly one letter per phoneme |
—
|
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: roughly one letter per phoneme | Statement: [Hawar alphabet, phonemicPrinciple, roughly one letter per phoneme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: phonemicPrinciple Context triple: [Hawar alphabet, phonemicPrinciple, roughly one letter per phoneme]
-
A.
hasPhonemicPrinciple
chosen
Indicates that one entity employs or is based on a phonemic principle in relation to another entity (such as a writing system reflecting distinct phonemes of a language).
-
B.
hasPhonologicalBasisFor
Indicates that one entity serves as the phonological source, motivation, or foundation for another entity.
-
C.
phoneticProcess
Indicates a relationship where one sound or sequence of sounds undergoes a systematic phonetic change or transformation in a particular linguistic context.
-
D.
phoneticComponents
Indicates that one entity serves as a phonetic component or contributes to the pronunciation of another entity.
-
E.
degreeOfPhoneticism
Indicates the extent to which a writing system’s symbols correspond directly to the sounds (phonetics) of the spoken language.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1d0edc8190b4495935275252f3 |
completed | March 31, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:22 p.m.