Triple
T6565216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rumi script |
E153885
|
entity |
| Predicate | transcribesPhonologyOf |
P71900
|
FINISHED |
| Object | Malay phonology |
—
|
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: Malay phonology | Statement: [Rumi script, transcribesPhonologyOf, Malay phonology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transcribesPhonologyOf Context triple: [Rumi script, transcribesPhonologyOf, Malay phonology]
-
A.
hasPhonologicalBasisFor
Indicates that one entity serves as the phonological source, motivation, or foundation for another entity.
-
B.
hasPhonologicalDescription
Indicates that an entity is associated with a specific representation or description of its sound structure or phonological form.
-
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.
hasOwnPhonology
Indicates that an entity possesses its own distinct phonological system or set of sound patterns, separate from those of other entities.
-
E.
hasPhoneme
Indicates that a linguistic unit (such as a word or morpheme) contains or includes a particular phoneme as part of its sound structure.
- F. None of above. chosen
Provenance (4 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 1:52 p.m.