Triple
T1449128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urakami district of Nagasaki |
E31247
|
entity |
| Predicate | preWarCharacter |
P28711
|
FINISHED |
| Object | mixed residential and industrial zone |
—
|
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: mixed residential and industrial zone | Statement: [Urakami district of Nagasaki, preWarCharacter, mixed residential and industrial zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preWarCharacter Context triple: [Urakami district of Nagasaki, preWarCharacter, mixed residential and industrial zone]
-
A.
preWorldWarIIRole
Indicates the role, position, or function an entity held or performed prior to the onset of World War II.
-
B.
historicalFigure
Indicates that an entity is recognized as a notable person from the past who played a significant role in history.
-
C.
enemyDuringWar
Indicates that one entity is an enemy of another specifically in the context of a particular war or armed conflict.
-
D.
notableArmy
Indicates that an entity is associated with an army that is historically or culturally significant or widely recognized.
-
E.
warPeriod
Indicates a time span during which a state of war or armed conflict is ongoing between parties.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55c408c8190917ed44d9070a2fb |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c55508948190922aee3230a4323e |
completed | March 1, 2026, 11:01 p.m. |
Created at: March 1, 2026, 8 p.m.