Triple
T1803626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Human Rights Commission (India) |
E39772
|
entity |
| Predicate | canTakeSuoMotuCognizanceOf |
P32553
|
FINISHED |
| Object | human rights violations |
—
|
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: human rights violations | Statement: [National Human Rights Commission (India), canTakeSuoMotuCognizanceOf, human rights violations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canTakeSuoMotuCognizanceOf Context triple: [National Human Rights Commission (India), canTakeSuoMotuCognizanceOf, human rights violations]
-
A.
canMandate
Indicates that one entity has the authority or power to require another entity to perform or comply with something.
-
B.
canTakeActionWith
Indicates that one entity is able or permitted to perform an action jointly or in coordination with another entity.
-
C.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
D.
canMake
Indicates that one entity has the ability or capacity to create, produce, or assemble another entity.
-
E.
canBeSuedFor
Indicates that one party is legally liable or potentially subject to legal action by another party for a specified cause or wrongdoing.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d514c081908197ac1f7c7d7a88 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aba67554788190b429f2b9f0a70310 |
completed | March 7, 2026, 4:15 a.m. |
Created at: March 4, 2026, 7:32 p.m.