Triple
T27039597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwoyeu Romatzyh |
E684449
|
entity |
| Predicate | phonologicalBasis |
P40496
|
FINISHED |
| Object | phonemic analysis of Mandarin |
—
|
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: phonemic analysis of Mandarin | Statement: [Gwoyeu Romatzyh, phonologicalBasis, phonemic analysis of Mandarin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: phonologicalBasis Context triple: [Gwoyeu Romatzyh, phonologicalBasis, phonemic analysis of Mandarin]
-
A.
hasPhonologicalBasisFor
chosen
Indicates that one entity serves as the phonological source, motivation, or foundation for another entity.
-
B.
primaryPhonologicalSystem
Indicates that one phonological system is the main or dominant sound system associated with a given language, dialect, or linguistic entity.
-
C.
hasPhonologicalParameters
Indicates that an entity is associated with specific phonological features or parameters that characterize its sound structure.
-
D.
hasPhonologicalDescription
Indicates that an entity is associated with a specific representation or description of its sound structure or phonological form.
-
E.
hasPhonemicPrinciple
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).
- 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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6226af8408190a9673ca09a5d4f87 |
completed | May 2, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:03 a.m.