Triple
T11912319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard German phonology |
E283425
|
entity |
| Predicate | hasVowelInventorySize |
P102310
|
FINISHED |
| Object | approximately 15 monophthongs |
—
|
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: approximately 15 monophthongs | Statement: [Standard German phonology, hasVowelInventorySize, approximately 15 monophthongs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVowelInventorySize Context triple: [Standard German phonology, hasVowelInventorySize, approximately 15 monophthongs]
-
A.
hasVowelSystem
Indicates that an entity possesses a particular system or pattern of vowel sounds (a structured set of vowel phonemes or contrasts).
-
B.
hasNumberOfVowelLetters
Indicates that an entity is associated with a specific count of vowel letters it contains.
-
C.
hasVowelFeature
Indicates that an entity possesses a specific vowel-related phonological or articulatory feature.
-
D.
hasNumberOfVowelSigns
Indicates the count of vowel signs associated with or present in a given linguistic unit (such as a character, syllable, or word).
-
E.
hasVowelLengthContrast
Indicates that a language distinguishes word meanings based on differences in the length (duration) of vowel sounds.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e528f6748190ac873a040a61fa93 |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:44 p.m.