Triple
T35849073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | כּוּשׁ |
E1036297
|
entity |
| Predicate | spelledWithHebrewLetters |
P111149
|
FINISHED |
| Object | כ ו ש |
—
|
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: כ ו ש | Statement: [כּוּשׁ, spelledWithHebrewLetters, כ ו ש]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spelledWithHebrewLetters Context triple: [כּוּשׁ, spelledWithHebrewLetters, כ ו ש]
-
A.
correspondsToInHebrew
Indicates that one entity is the Hebrew-language equivalent or counterpart of another entity.
-
B.
hasNameInHebrew
Indicates that an entity is associated with a specific name expressed in the Hebrew language.
-
C.
transliteratedAsInModernIsraeliUsage
Indicates that one entity is the modern Israeli Hebrew transliteration form used to represent the other entity.
-
D.
hebrewText
chosen
Indicates that the relationship or action is expressed or represented in Hebrew text form.
-
E.
oftenRenderedFromHebrewTerm
Indicates that one term is frequently used as the translation or rendering of a corresponding term originating from Hebrew.
- 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.