Triple
T35060219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ארמגדון |
E1011571
|
entity |
| Predicate | נושא של |
P142219
|
FINISHED |
| Object | ספרות אפוקליפטית |
—
|
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: ספרות אפוקליפטית | Statement: [ארמגדון, נושא של, ספרות אפוקליפטית]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: נושא של Context triple: [ארמגדון, נושא של, ספרות אפוקליפטית]
-
A.
topicOfDialogue
Indicates that a particular subject or theme is the main focus of a dialogue or conversation between entities.
-
B.
topicOfDiscourse
Indicates that something serves as the subject or focus of a particular discussion, conversation, or communicative act.
-
C.
titleSubjectOf
chosen
Indicates that a title (such as a book, article, or work) is about or primarily concerns a particular subject.
-
D.
tacklesTheme
Indicates that one entity addresses, explores, or deals with a particular theme as a central subject.
-
E.
subjectOfEvent
Indicates that an entity participates in or is involved in a particular event as one of its primary actors or focal points.
- F. None of above.
Provenance (3 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_69f78607679c819085c2e1fde23ed1ea |
completed | May 3, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.