Triple
T29054170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | קאוונא |
E735342
|
entity |
| Predicate | הייתה ידועה כמרכז ל |
P145012
|
FINISHED |
| Object | ישיבות ליטאיות |
—
|
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: ישיבות ליטאיות | Statement: [קאוונא, הייתה ידועה כמרכז ל, ישיבות ליטאיות]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: הייתה ידועה כמרכז ל Context triple: [קאוונא, הייתה ידועה כמרכז ל, ישיבות ליטאיות]
-
A.
كانت_مركزًا
Indicates that something served or functioned as a central point, hub, or focal place for something else.
-
B.
hasInformationCentre
Indicates that one entity possesses, hosts, or is served by an information centre associated with it.
-
C.
historicalCenterFor
chosen
Indicates that one entity has served as a central or focal place of historical significance, activity, or development for another entity.
-
D.
isScientificCenterFor
Indicates that one entity serves as a primary location or institution dedicated to conducting, coordinating, or supporting scientific research, education, or activities related to another entity.
-
E.
hasIntellectualCenter
Indicates that an entity serves as the primary location or hub for the intellectual, academic, or scholarly activities of another entity.
- 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_69f077e64b88819094d37bdbca8191b3 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 10:10 a.m.