Triple
T6612652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pratyabhijñā school |
E149272
|
entity |
| Predicate | methodOfRealization |
P62247
|
FINISHED |
| Object | direct intuitive recognition |
—
|
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: direct intuitive recognition | Statement: [Pratyabhijñā school, methodOfRealization, direct intuitive recognition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfRealization Context triple: [Pratyabhijñā school, methodOfRealization, direct intuitive recognition]
-
A.
realizationMethod
chosen
Indicates the means, process, or technique by which something is carried out, implemented, or brought into effect.
-
B.
hasRealizationAs
Indicates that something abstract, such as a plan, design, or concept, is concretely implemented or manifested as a particular realized form.
-
C.
methodOfDisposal
Indicates the specific way or process by which something is discarded, eliminated, or otherwise gotten rid of.
-
D.
constructionMethod
Indicates the technique or process by which something is built, assembled, or created.
-
E.
hasProductionMethod
Indicates that one entity is produced, created, or manufactured using the method, process, or technique specified 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.