Triple
T140589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | atomic bombing of Nagasaki |
E2840
|
entity |
| Predicate | hasSurvivorTerm |
P6018
|
FINISHED |
| Object | hibakusha |
—
|
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: hibakusha | Statement: [atomic bombing of Nagasaki, hasSurvivorTerm, hibakusha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurvivorTerm Context triple: [atomic bombing of Nagasaki, hasSurvivorTerm, hibakusha]
-
A.
survivorTerm
Indicates that one entity is designated as the surviving or remaining party in relation to another entity, often after a loss, termination, or adverse event.
-
B.
hasTerm
Indicates that an entity includes, is associated with, or is defined by a specific term or condition.
-
C.
hasSurvivingOriginals
Indicates that some of the original instances or versions of an entity still exist and have not been lost, destroyed, or replaced.
-
D.
hasLeader
Indicates that one entity serves as the leader or head of another entity.
-
E.
isShortLived
Indicates that an entity exists or remains in a particular state for only a brief or limited period of time.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257c7e79c8190b3e5a2983035a972 |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a2565426c08190aab68e34a6a2d60e |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a25737f9188190b9690dce98aed83a |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.