Triple
T12656493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Międzyrzec Podlaski |
E302296
|
entity |
| Predicate | historicalMinorityLanguage |
P106031
|
FINISHED |
| Object | Yiddish |
—
|
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: Yiddish | Statement: [Międzyrzec Podlaski, historicalMinorityLanguage, Yiddish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalMinorityLanguage Context triple: [Międzyrzec Podlaski, historicalMinorityLanguage, Yiddish]
-
A.
historicalMinority
Indicates that an entity has been part of a group that has been numerically, politically, or socially subordinate within a society over a significant historical period.
-
B.
hasMajorityLanguageHistorically
Indicates that a particular language has historically been the predominant or majority language within a given entity or region.
-
C.
historicalLanguageGroup
Indicates that two or more entities belong to the same historically defined language group or family, based on shared linguistic ancestry or development.
-
D.
heritageLanguage
Indicates that one entity is the ancestral or culturally inherited language associated with another entity.
-
E.
historicalLanguage
Indicates that one language is a historical or earlier form/ancestor of another language.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96179c7648190a05a13991d62bebb |
completed | April 10, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:18 p.m.