Triple
T18316894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasato Maru |
E438771
|
entity |
| Predicate | numberOfImmigrantsCarried |
P11975
|
FINISHED |
| Object | 781 |
—
|
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: 781 | Statement: [Kasato Maru, numberOfImmigrantsCarried, 781]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfImmigrantsCarried Context triple: [Kasato Maru, numberOfImmigrantsCarried, 781]
-
A.
numberOfImmigrantsProcessed
chosen
Indicates the total count of immigrants that have been processed in a given context or system.
-
B.
approximateNumberOfRefugeesTransported
Indicates an estimated count of refugees who were transported in the described event or context.
-
C.
estimatedEmigrants
Indicates the estimated number of people who have left a place or country to live elsewhere.
-
D.
estimatedNumberOfPeopleDeported
Indicates the approximate count of individuals who were forcibly removed or expelled from a place or country.
-
E.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021f5f1081909fd98c8fb786c7ff |
completed | April 19, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.