Triple
T29295095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urakami district |
E742803
|
entity |
| Predicate | warAffectedArea |
P34508
|
FINISHED |
| Object | World War II |
—
|
NE NERFINISHED |
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: World War II | Statement: [Urakami district, warAffectedArea, World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warAffectedArea Context triple: [Urakami district, warAffectedArea, World War II]
-
A.
regionOfConflict
chosen
Indicates that a specified region is the location where a particular conflict or dispute takes place.
-
B.
liberatedArea
Indicates that a particular area has been freed from control, occupation, or domination by a previously prevailing power or force.
-
C.
countryDuringWar
Indicates that a country exists or participates as a relevant actor during a specified war or armed conflict.
-
D.
wasBombedOn
Indicates that a location or target experienced a bombing event at a specific time or date.
-
E.
warDamage
Indicates damage that was caused as a direct consequence of war or armed conflict.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f66543491c8190a45fb81ecd34469b |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 1:05 p.m.