Triple
T34301869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cara |
E880201
|
entity |
| Predicate | hasPronunciationPattern |
P103348
|
FINISHED |
| Object | typically pronounced with two syllables in English |
—
|
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: typically pronounced with two syllables in English | Statement: [Cara, hasPronunciationPattern, typically pronounced with two syllables in English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPronunciationPattern Context triple: [Cara, hasPronunciationPattern, typically pronounced with two syllables in English]
-
A.
hasPronunciationInformation
chosen
Indicates that there is available information describing how something is pronounced.
-
B.
phoneticPattern
Indicates that two or more linguistic elements share a specific arrangement or sequence of sounds according to a defined phonological structure.
-
C.
hasPhoneme
Indicates that a linguistic unit (such as a word or morpheme) contains or includes a particular phoneme as part of its sound structure.
-
D.
hasPronunciationDifferenceFrom
Indicates that two linguistic items differ in how they are pronounced.
-
E.
hasStressPattern
Indicates that an entity (such as a word or phrase) follows a particular arrangement of stressed and unstressed units (e.g., syllables) in its pronunciation.
- 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a03008316dc8190a9f6faf48d25a4f8 |
completed | May 12, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_6a030023e66881909ea79f1365ab538a |
completed | May 12, 2026, 10:25 a.m. |
Created at: May 1, 2026, 1:57 a.m.