Triple
T13379373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | משמר הגבול |
E319273
|
entity |
| Predicate | סוג_כוח_אדם |
P109691
|
FINISHED |
| Object | שוטרים לוחמים |
—
|
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: שוטרים לוחמים | Statement: [משמר הגבול, סוג_כוח_אדם, שוטרים לוחמים]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: סוג_כוח_אדם Context triple: [משמר הגבול, סוג_כוח_אדם, שוטרים לוחמים]
-
A.
usesPowerType
Indicates that one entity operates or functions by means of a specified type or source of power.
-
B.
strengthType
Indicates the specific category or nature of strength associated with an entity or relationship (e.g., physical, structural, or conceptual strength).
-
C.
sourceOfPower
Indicates that one entity serves as the origin or provider of power, energy, or authority for another entity.
-
D.
strengthGovernmentForces
Indicates the level or degree of military or coercive power held or exerted by government forces in a given context.
-
E.
heroPower
Indicates that an entity possesses or is associated with a particular heroic power or special ability.
- 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.