Triple
T17383600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shabak |
E422630
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | שירות הביטחון הכללי |
—
|
NE NERFINISHED |
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: שירות הביטחון הכללי | Statement: [Shabak, nativeName, שירות הביטחון הכללי]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: שירות הביטחון הכללי Context triple: [Shabak, nativeName, שירות הביטחון הכללי]
-
A.
שירות הביטחון הכללי
chosen
שירות הביטחון הכללי הוא ארגון הביטחון הפנימי והמודיעין של מדינת ישראל, האחראי על סיכול טרור, ריגול ואיומים ביטחוניים בתוך המדינה.
-
B.
Ethniki Insurance
Ethniki Insurance is a major Greek insurance company offering a wide range of life and non-life insurance products and services.
-
C.
Bendel Insurance
Bendel Insurance is a historic Nigerian football club from Benin City, known as one of the country’s traditional powerhouses with significant domestic cup success.
-
D.
OK! Teleseguros
OK! Teleseguros is a Portuguese insurance brand specializing in direct, often online-based insurance services.
-
E.
Esurance
Esurance is a U.S.-based online-focused auto and home insurance company known for its direct-to-consumer model and digital tools for buying and managing policies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a87d9948190986021f1fb5a4e00 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.