Triple
T21649221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | חיים סגפניים |
E534291
|
entity |
| Predicate | מבחין בין |
P3450
|
FINISHED |
| Object | צרכים בסיסיים לבין תענוגות מיותרים |
—
|
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: צרכים בסיסיים לבין תענוגות מיותרים | Statement: [חיים סגפניים, מבחין בין, צרכים בסיסיים לבין תענוגות מיותרים]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מבחין בין Context triple: [חיים סגפניים, מבחין בין, צרכים בסיסיים לבין תענוגות מיותרים]
-
A.
distinction
chosen
Indicates that one entity is recognized, treated, or classified as different or separate from another.
-
B.
dividedBetween
Indicates that something is partitioned or shared among two or more distinct entities or groups.
-
C.
boundaryBetween
Indicates that something serves as a dividing line or limit separating two distinct regions, areas, or entities.
-
D.
differIn
Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
-
E.
distinguishingTrait
Indicates that a particular characteristic or feature uniquely differentiates one entity from 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59131c88819082df8e5b87f5954b |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:35 p.m.