Triple
T34020648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sallekhana |
E872370
|
entity |
| Predicate | ethicalCondition |
P65232
|
FINISHED |
| Object | must be voluntary |
—
|
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: must be voluntary | Statement: [Sallekhana, ethicalCondition, must be voluntary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethicalCondition Context triple: [Sallekhana, ethicalCondition, must be voluntary]
-
A.
ethicalInstruction
Indicates that one entity provides guidance, teaching, or directives to another entity about moral principles or ethical behavior.
-
B.
hasEthicalConstraint
chosen
Indicates that an entity is subject to a specified ethical rule, limitation, or normative requirement that governs its behavior or decisions.
-
C.
equalityCondition
Indicates that two values, expressions, or attributes must be exactly the same for the condition to be satisfied.
-
D.
ethicalNote
Indicates that there is an associated ethical consideration, warning, or commentary relevant to the referenced entity or action.
-
E.
ethicalConnotation
Indicates that one entity is associated with a positive, negative, or otherwise specific moral or ethical evaluation in relation to another entity or context.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.