Triple
T15886789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dayan |
E385210
|
entity |
| Predicate | ethicalRequirement |
P65232
|
FINISHED |
| Object | impartiality |
—
|
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: impartiality | Statement: [dayan, ethicalRequirement, impartiality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethicalRequirement Context triple: [dayan, ethicalRequirement, impartiality]
-
A.
ethicalInstruction
Indicates that one entity provides guidance, teaching, or directives to another entity about moral principles or ethical behavior.
-
B.
moralRequirement
Indicates that one entity is obligated, on moral or ethical grounds, to perform or refrain from a particular action in relation to another entity or situation.
-
C.
hasEthicalConstraint
chosen
Indicates that an entity is subject to a specified ethical rule, limitation, or normative requirement that governs its behavior or decisions.
-
D.
legalRequirement
Indicates that one entity is obligated by law to perform, provide, or comply with something in relation to another entity or situation.
-
E.
evaluationRequirement
Indicates that one entity imposes or specifies conditions under which another entity must be assessed, tested, or evaluated.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.