Triple
T18315642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Defense Command exclusion zones |
E438746
|
entity |
| Predicate | affectedPopulationSize |
P54084
|
FINISHED |
| Object | over 110000 Japanese Americans |
—
|
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: over 110000 Japanese Americans | Statement: [Western Defense Command exclusion zones, affectedPopulationSize, over 110000 Japanese Americans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectedPopulationSize Context triple: [Western Defense Command exclusion zones, affectedPopulationSize, over 110000 Japanese Americans]
-
A.
estimatedAffectedPeople
chosen
Indicates the estimated number of people expected to be impacted by a particular event, condition, or action.
-
B.
affectedPeople
Indicates the people who are impacted or influenced by a particular event, action, or condition.
-
C.
supportedPopulation
Indicates that one entity provides assistance, resources, or services to sustain or benefit a specified group of people.
-
D.
targetedPopulation
Indicates the group of individuals or entities that an action, intervention, or effect is specifically directed toward.
-
E.
peakPopulationApproximate
Indicates that the peak population of an entity is known only approximately rather than as an exact value.
- 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_69e5021cc70c8190bf43bd75e4af7381 |
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.