Triple
T35849869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | רצועת עזה |
E1036317
|
entity |
| Predicate | משמשת |
P183894
|
FINISHED |
| Object | מוקד לעימותים ביטחוניים ומבצעיים בין ישראל לארגונים פלסטיניים |
—
|
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: מוקד לעימותים ביטחוניים ומבצעיים בין ישראל לארגונים פלסטיניים | Statement: [רצועת עזה, משמשת, מוקד לעימותים ביטחוניים ומבצעיים בין ישראל לארגונים פלסטיניים]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: משמשת Context triple: [רצועת עזה, משמשת, מוקד לעימותים ביטחוניים ומבצעיים בין ישראל לארגונים פלסטיניים]
-
A.
מושך
Indicates that one entity pulls, attracts, or draws another entity toward itself.
-
B.
מושפע מ
Indicates that one entity is affected or influenced by another entity or factor.
-
C.
מזוהה עם
Indicates that one entity is identified with, or recognized as being the same as or equivalent to, another entity.
-
D.
מטרה
Indicates that an entity serves as the goal, aim, or intended target of another entity or action.
-
E.
סב
Indicates a familial relationship where one entity is the grandfather of another.
- 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.