Triple
T34733943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nirankar |
E1001284
|
entity |
| Predicate | hasConceptualPair |
P57196
|
FINISHED |
| Object | Sargun-Nirgun unity of God |
—
|
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: Sargun-Nirgun unity of God | Statement: [Nirankar, hasConceptualPair, Sargun-Nirgun unity of God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConceptualPair Context triple: [Nirankar, hasConceptualPair, Sargun-Nirgun unity of God]
-
A.
hasConceptualParallel
chosen
Indicates that one entity corresponds to or mirrors another at a conceptual level, showing a similar idea, structure, or pattern despite possible differences in form or context.
-
B.
hasConjugateConcept
Indicates that one concept is the conjugate (e.g., complex, algebraic, or structurally dual counterpart) of another concept within a given formal system.
-
C.
hasConceptualOpposite
Indicates that one entity represents a concept that is fundamentally opposed or contrary in meaning to the concept represented by another entity.
-
D.
hasTwoKeyConcepts
Indicates that a subject is associated with exactly two distinct key concepts.
-
E.
hasConceptualStructure
Indicates that one entity embodies, organizes, or is characterized by a particular conceptual structure defined by another entity.
- 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_69f76daf739881909ed3554f98a2b433 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.