Triple
T29054166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | קובנה |
E735342
|
entity |
| Predicate | הוקם בה |
P30003
|
FINISHED |
| Object | גטו קובנה |
—
|
NE NERFINISHED |
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: גטו קובנה | Statement: [קובנה, הוקם בה, גטו קובנה]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: הוקם בה Context triple: [קובנה, הוקם בה, גטו קובנה]
-
A.
הוקמה לשם
Indicates that something was established or founded for the purpose of serving or fulfilling a specified aim or function.
-
B.
שנת_הקמה
Indicates the year in which an entity (such as an organization, place, or structure) was founded or established.
-
C.
erected
Indicates that one entity caused a structure or object to be built or put upright, typically in a deliberate and often permanent manner.
-
D.
builtInThe
chosen
Indicates that something was constructed or created within a specified location, structure, or context.
-
E.
builtOn
Indicates that one entity is constructed, developed, or established using another entity as its base, foundation, or underlying platform.
- 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.