Triple
T7106984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mixtec pictographic script |
E165612
|
entity |
| Predicate | degreeOfPhoneticism |
P74938
|
FINISHED |
| Object | limited phonetic elements |
—
|
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: limited phonetic elements | Statement: [Mixtec pictographic script, degreeOfPhoneticism, limited phonetic elements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeOfPhoneticism Context triple: [Mixtec pictographic script, degreeOfPhoneticism, limited phonetic elements]
-
A.
phoneticValue
Indicates a relationship where a symbol, sign, or written element is associated with the specific sound or sequence of sounds it represents.
-
B.
isPhonetic
Indicates that one entity represents the phonetic (sound-based) form or pronunciation of another entity.
-
C.
hasPhonemicTone
Indicates that a language, word, or syllable uses pitch differences (tones) as phonemic contrasts that can change meaning.
-
D.
hasPhonologicalDescription
Indicates that an entity is associated with a specific representation or description of its sound structure or phonological form.
-
E.
hasPhonologicalParameters
Indicates that an entity is associated with specific phonological features or parameters that characterize 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5b9f13c8190a14898f241ec17a4 |
completed | March 27, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:42 p.m.