Triple
T5728471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Circassians |
E126322
|
entity |
| Predicate | timeOfMassDeportation |
P22994
|
FINISHED |
| Object | 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: 19th century | Statement: [Circassians, timeOfMassDeportation, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfMassDeportation Context triple: [Circassians, timeOfMassDeportation, 19th century]
-
A.
majorDeportation
Indicates that an entity was subjected to a large-scale, often forced, removal or expulsion from a country or region.
-
B.
estimatedNumberOfPeopleDeported
Indicates the approximate count of individuals who were forcibly removed or expelled from a place or country.
-
C.
deportationsOccurredIn
Indicates that one or more deportation events took place within a specified location or jurisdiction.
-
D.
deportationYear
chosen
Indicates the year in which an entity was deported from a country or territory.
-
E.
internmentDate
Indicates the date on which an individual was placed into internment or confinement.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c6488881909bed4a4534d57f70 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:47 p.m.