Triple
T1766521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Planning Office |
E38774
|
entity |
| Predicate | hasEthicalStatus |
P5187
|
FINISHED |
| Object | involved in planning genocide |
—
|
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: involved in planning genocide | Statement: [SS Planning Office, hasEthicalStatus, involved in planning genocide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthicalStatus Context triple: [SS Planning Office, hasEthicalStatus, involved in planning genocide]
-
A.
hasEthicalAssessment
chosen
Indicates that an entity has been evaluated according to ethical criteria or standards.
-
B.
hasEthicalRole
Indicates that an entity holds a position, function, or responsibility defined in terms of ethical duties, norms, or moral obligations in relation to another entity or context.
-
C.
hasEthicalDimension
Indicates that the relationship, action, or situation involves moral considerations, value judgments, or ethical implications.
-
D.
hasEthicsDocument
Indicates that an entity possesses or is associated with a formal document outlining ethical principles, guidelines, or policies.
-
E.
moralStatus
Indicates the ethical standing or degree of moral consideration that one entity has in relation to another.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab39fc2c448190bfaf1ee8d474632a |
completed | March 6, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69aa61cbb1288190a7ba38b61905f578 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.