Triple
T6364052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubykhs |
E143180
|
entity |
| Predicate | historicalFate |
P70214
|
FINISHED |
| Object | mass deportation to Ottoman Empire in 19th century |
—
|
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: mass deportation to Ottoman Empire in 19th century | Statement: [Ubykhs, historicalFate, mass deportation to Ottoman Empire in 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalFate Context triple: [Ubykhs, historicalFate, mass deportation to Ottoman Empire in 19th century]
-
A.
historicalFocus
Indicates that something is primarily concerned with, centered on, or devoted to a particular historical period, event, or theme.
-
B.
historical
Indicates that the subject has existed, occurred, or been relevant in the past rather than in the present or future.
-
C.
historicFor
Indicates that something holds historical significance or importance specifically in relation to another entity.
-
D.
historicalCategory
Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or context.
-
E.
historicalSee
Indicates that one entity observed, encountered, or took visual notice of another entity in the past.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0680d51a4819098a6bcd3dfd73be4 |
completed | March 22, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69c060ee055081908c79a1d151bd74cd |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:32 p.m.