Triple
T15481897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urakami |
E376938
|
entity |
| Predicate | devastationCenter |
P53686
|
FINISHED |
| Object | hypocenter of the Nagasaki atomic bomb |
—
|
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: hypocenter of the Nagasaki atomic bomb | Statement: [Urakami, devastationCenter, hypocenter of the Nagasaki atomic bomb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: devastationCenter Context triple: [Urakami, devastationCenter, hypocenter of the Nagasaki atomic bomb]
-
A.
destroyedCity
Indicates that an entity has caused the complete or near-complete destruction of a city.
-
B.
sufferedDestructionIn
Indicates that an entity experienced damage, ruin, or devastation during or as part of a specified event or period.
-
C.
areaDestroyed
Indicates that a specified portion or region has been damaged or ruined to the point of destruction.
-
D.
deathCity
Indicates the city in which an entity (typically a person) died.
-
E.
locationOfDestruction
chosen
Indicates the place where a destruction event occurred or where something was destroyed.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8cb4388190a3b4c92c3bb4ad4f |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:34 a.m.