Triple
T35849929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | רשות המעברים היבשתיים |
E1036319
|
entity |
| Predicate | סוג מעברים |
P183898
|
FINISHED |
| Object | מעברי גבול יבשתיים |
—
|
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: מעברי גבול יבשתיים | Statement: [רשות המעברים היבשתיים, סוג מעברים, מעברי גבול יבשתיים]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: סוג מעברים Context triple: [רשות המעברים היבשתיים, סוג מעברים, מעברי גבול יבשתיים]
-
A.
operatedTo
Indicates that one entity has performed a surgical or medical operation on another entity.
-
B.
operationType
Indicates the specific kind of operation or action being performed or recorded in the relationship between entities.
-
C.
operatedInTheatre
Indicates that a medical or surgical procedure was performed on a patient within an operating theatre or surgical suite.
-
D.
interventionType
Indicates the specific kind or category of action, treatment, or measure applied in an intervention.
-
E.
operatedWith
Indicates that an entity performed an action, function, or process using a specified tool, method, or instrument.
- 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_69f76e1b4aa481909630373171eb5ec6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa33e0488190a135166bb67e1118 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.