Triple
T4411884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Brazilians |
E94868
|
entity |
| Predicate | postwarTrend |
P13560
|
FINISHED |
| Object | urbanization |
—
|
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: urbanization | Statement: [Japanese Brazilians, postwarTrend, urbanization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postwarTrend Context triple: [Japanese Brazilians, postwarTrend, urbanization]
-
A.
postwarOutcome
Indicates the result or consequences that follow for a party or situation after a war has ended.
-
B.
postwarActivity
chosen
Indicates activities, roles, or developments associated with an entity specifically in the period following a war or major conflict.
-
C.
regionAfter1945
Indicates that one region exists as the geopolitical or administrative successor of another region after the year 1945.
-
D.
notablePostwarUser
Indicates that an entity is recognized for its significant or prominent use of another entity in the period following a major war.
-
E.
notableProductPostWar
Indicates that the subject is a product that gained particular notability or significance in the post-war period.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e656dc819093ca8395d7334006 |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.