Triple
T859462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyaya |
E18567
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | न्याय |
E18567
|
NE 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: न्याय | Statement: [Nyaya, nativeName, न्याय]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: न्याय Context triple: [Nyaya, nativeName, न्याय]
-
A.
Justice
Justice is the Belgian federal ministerial portfolio responsible for the judicial system, courts, prosecution services, and the administration of criminal and civil law.
-
B.
Justice
Justice is a 1910 stage play by John Galsworthy that critiques the English legal and prison systems through the tragic story of a young clerk driven to crime.
-
C.
Nyaya
chosen
Nyaya is an orthodox school of Indian philosophy best known for its rigorous system of logic, epistemology, and debate.
-
D.
Recht
Recht is a village and district within the municipality of Sankt Vith in the German-speaking region of eastern Belgium.
-
E.
Let Justice be Done
"Let Justice be Done" is the English motto of the Royal Air Force Police, reflecting their commitment to upholding law and justice within the RAF.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac50e5ec81908ac0c4b7123b4ebb |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3c3d2fc8190b9f76d31528feeb6 |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:39 p.m.