Triple
T286510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Met Lab |
E5895
|
entity |
| Predicate | hasEthicalDebate |
P1212
|
FINISHED |
| Object | use of atomic bombs against Japan |
—
|
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: use of atomic bombs against Japan | Statement: [Met Lab, hasEthicalDebate, use of atomic bombs against Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthicalDebate Context triple: [Met Lab, hasEthicalDebate, use of atomic bombs against Japan]
-
A.
ethicalDebate
chosen
Indicates a relationship where parties are engaged in discussing, questioning, or disputing the moral rightness or wrongness of actions, policies, or principles.
-
B.
hasEthicalAssessment
Indicates that an entity has been evaluated according to ethical criteria or standards.
-
C.
languageOfDebate
Indicates that a specified language is the one used for conducting a particular debate.
-
D.
positionOnEthics
Indicates a stance, viewpoint, or opinion that an entity holds regarding ethical principles, issues, or practices.
-
E.
controversy
Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a2605b372c8190831570aa6532cc96 |
completed | Feb. 28, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69a25b7a8d148190aacdcc8ccb35c7f3 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.