Triple
T35060199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ארמגדון |
E1011571
|
entity |
| Predicate | מייצג |
P182061
|
FINISHED |
| Object | קרב סופי בין כוחות הטוב והרע |
—
|
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: קרב סופי בין כוחות הטוב והרע | Statement: [ארמגדון, מייצג, קרב סופי בין כוחות הטוב והרע]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מייצג Context triple: [ארמגדון, מייצג, קרב סופי בין כוחות הטוב והרע]
-
A.
eraRepresented
Indicates that a subject depicts, symbolizes, or stands for a particular historical or temporal era.
-
B.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
C.
isRepresentiveOf
Indicates that one entity serves as an official agent, spokesperson, or proxy acting on behalf of another entity.
-
D.
representedFor
Indicates that one entity has acted or served as the official representative or proxy on behalf of another entity.
-
E.
ייחוס
Indicates an attribution or assignment relationship, where a property, role, or characteristic is ascribed from one entity to 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_69f76dd09c308190a523454853ce842b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.