Triple
T15804276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashkenazi tradition |
E383170
|
entity |
| Predicate | hasDistinctPronunciation |
P6385
|
FINISHED |
| Object | Ashkenazi Hebrew pronunciation |
—
|
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: Ashkenazi Hebrew pronunciation | Statement: [Ashkenazi tradition, hasDistinctPronunciation, Ashkenazi Hebrew pronunciation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistinctPronunciation Context triple: [Ashkenazi tradition, hasDistinctPronunciation, Ashkenazi Hebrew pronunciation]
-
A.
hasPronunciationDifferenceFrom
chosen
Indicates that two linguistic items differ in how they are pronounced.
-
B.
hasDistinctLetterForSound
Indicates that a particular sound is represented by its own unique letter, distinct from other sounds in the writing system.
-
C.
hasDistinctOrthographyFrom
Indicates that two written forms are orthographically different from each other, even if they may represent the same or related linguistic content.
-
D.
hasPronunciationInformation
Indicates that there is available information describing how something is pronounced.
-
E.
isMorePronouncedIn
Indicates that a particular feature, quality, or effect appears with greater intensity or prominence in one context, entity, or condition than in another.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b525b1c08190acffab06d89dbdbe |
completed | April 16, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.