Triple
T37945047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | קו ירוק |
E946581
|
entity |
| Predicate | משמש כיום בעיקר כ |
P47251
|
FINISHED |
| Object | קו התייחסות מדיני ומשפטי |
—
|
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: קו התייחסות מדיני ומשפטי | Statement: [קו ירוק, משמש כיום בעיקר כ, קו התייחסות מדיני ומשפטי]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: משמש כיום בעיקר כ Context triple: [קו ירוק, משמש כיום בעיקר כ, קו התייחסות מדיני ומשפטי]
-
A.
כולל כיום
Indicates that something currently includes or comprises certain elements or components.
-
B.
now
chosen
Indicates that an action, state, or relationship is occurring at the present moment in time.
-
C.
isMostly
Indicates that one entity constitutes the greater part or majority of another entity in amount, extent, or composition.
-
D.
partOfPresentDay
Indicates that one entity is a component, region, or subset of what constitutes the other entity in its current, modern-day form.
-
E.
majorCurrent
Indicates that an entity is the primary or most significant current (e.g., electrical or fluid flow) associated with another entity or system.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.