Triple
T32423202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hibakusha |
E828509
|
entity |
| Predicate | Nihon Hidankyo |
P174060
|
FINISHED |
| Object | instanceOf national organization of A-bomb survivors |
—
|
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: instanceOf national organization of A-bomb survivors | Statement: [Hibakusha, Nihon Hidankyo, instanceOf national organization of A-bomb survivors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Nihon Hidankyo Context triple: [Hibakusha, Nihon Hidankyo, instanceOf national organization of A-bomb survivors]
-
A.
JapaneseMission
Indicates a mission, delegation, or official undertaking that is specifically associated with Japan or originates from Japanese authorities or organizations.
-
B.
JapaneseCasualtiesSurvivors
Indicates the number or status of Japanese individuals who were casualties but survived an event or conflict.
-
C.
JapaneseUnit
Indicates that an entity is a unit of measurement or organization that is specific to or used within Japan.
-
D.
JapaneseForceType
Indicates that an entity is classified as a type of Japanese military or armed force.
-
E.
casualtiesJapanKilled
Indicates that the casualties were individuals from Japan who were killed.
- 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_69f3491b28bc8190b75cea7a507f337b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c28393388190bc10c39e54564b28 |
completed | May 3, 2026, 3:35 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bb344bb48190a8089f29c0063ded |
completed | May 3, 2026, 3:04 a.m. |
Created at: May 1, 2026, 12:54 a.m.