Triple
T13379383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | משמר הגבול |
E319273
|
entity |
| Predicate | מטרה |
P109693
|
FINISHED |
| Object | הגנה על ביטחון אזרחי ישראל |
—
|
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: הגנה על ביטחון אזרחי ישראל | Statement: [משמר הגבול, מטרה, הגנה על ביטחון אזרחי ישראל]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מטרה Context triple: [משמר הגבול, מטרה, הגנה על ביטחון אזרחי ישראל]
-
A.
meter
Indicates a measurement relationship where one entity quantifies the length, distance, or extent of another in meters.
-
B.
metre
Indicates a measurement relationship where one entity’s length, distance, or size is quantified in units of metres.
-
C.
وزن
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
-
D.
measureOf
Indicates that one entity serves as a quantitative or qualitative assessment or metric describing a property, extent, or magnitude of another entity.
-
E.
כולל
Indicates that something contains, includes, or encompasses something else as a part or subset.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce56c6c8190adf4e19f6d1bc233 |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:33 p.m.