Triple
T11113227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Israel |
E262812
|
entity |
| Predicate | campaignSloganLanguage |
P11589
|
FINISHED |
| Object | Hebrew |
—
|
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: Hebrew | Statement: [One Israel, campaignSloganLanguage, Hebrew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignSloganLanguage Context triple: [One Israel, campaignSloganLanguage, Hebrew]
-
A.
sloganInEnglish
Indicates that an entity’s slogan is expressed in the English language.
-
B.
serviceBrandLanguage
Indicates the language or languages in which a service brand communicates or is presented.
-
C.
campaignSloganProponents
Indicates that certain entities advocate for, support, or promote a particular campaign slogan.
-
D.
sloganSourceText
Indicates that the slogan is derived from, or corresponds to, a particular source text.
-
E.
languageOfCampaigning
chosen
Indicates the language used to conduct or communicate a campaign (e.g., political, marketing, or advocacy efforts).
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa523588190a25d241ccc6a9679 |
completed | April 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.