Triple
T11826147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Marks of Existence |
E281264
|
entity |
| Predicate | hasSanskritTerm |
P21581
|
FINISHED |
| Object | trilakṣaṇa |
—
|
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: trilakṣaṇa | Statement: [Three Marks of Existence, hasSanskritTerm, trilakṣaṇa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSanskritTerm Context triple: [Three Marks of Existence, hasSanskritTerm, trilakṣaṇa]
-
A.
hasMeaningInSanskrit
Indicates that one entity (such as a word, phrase, or symbol) possesses a specific meaning when interpreted in the Sanskrit language.
-
B.
hasPaliName
Indicates that an entity is associated with a name expressed in the Pali language.
-
C.
hasGranthaConsonants
Indicates that an entity includes or makes use of consonant characters from the Grantha script.
-
D.
nameInSanskrit
chosen
Indicates that one entity is the name or designation of another entity when expressed in the Sanskrit language.
-
E.
hasTerm
Indicates that an entity includes, is associated with, or is defined by a specific term or condition.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5eb299481909de3c0e85628fbe4 |
completed | April 10, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.