Triple
T29054191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | קובנה |
E735342
|
entity |
| Predicate | יש בה |
P96191
|
FINISHED |
| Object | אוניברסיטאות ומוסדות השכלה גבוהה |
—
|
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: אוניברסיטאות ומוסדות השכלה גבוהה | Statement: [קובנה, יש בה, אוניברסיטאות ומוסדות השכלה גבוהה]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: יש בה Context triple: [קובנה, יש בה, אוניברסיטאות ומוסדות השכלה גבוהה]
-
A.
لها
Indicates that something belongs to, is possessed by, or is associated with a feminine or non-human entity.
-
B.
HethIs
Indicates that one entity is identified as or equated with another entity, expressing a basic “is” or “being” relationship between them.
-
C.
כולל
chosen
Indicates that something contains, includes, or encompasses something else as a part or subset.
-
D.
HamIs
Indicates that one entity is identified, classified, or equated as ham in relation to another entity.
-
E.
Bloom
Indicates the process or state of a plant or similar organism producing and displaying flowers.
- 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_69f6609061508190ae12005d993e42bc |
completed | May 2, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 10:10 a.m.