Triple
T4240665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayin |
E95403
|
entity |
| Predicate | transliteratedAsInModernIsraeliUsage |
P54888
|
FINISHED |
| Object | apostrophe |
—
|
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: apostrophe | Statement: [Ayin, transliteratedAsInModernIsraeliUsage, apostrophe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transliteratedAsInModernIsraeliUsage Context triple: [Ayin, transliteratedAsInModernIsraeliUsage, apostrophe]
-
A.
alternativeTransliteration
Indicates that one written form represents an alternative way of transliterating the same original text or name into another script or orthography.
-
B.
hasNameInHebrew
Indicates that an entity is associated with a specific name expressed in the Hebrew language.
-
C.
standardTransliteration
Indicates that one representation of text is a transliteration of another according to a recognized standard or convention.
-
D.
transliterationLanguage
Indicates the language whose writing system is used as the target when converting text from one script to another.
-
E.
notableHebrewTranslator
Indicates that one entity is recognized for having translated works into Hebrew or from Hebrew in a particularly significant or distinguished way.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e87c9d88190a093b1289df5b974 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e04ef1c81908bb34ae1cbfab1e6 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:05 p.m.