Triple
T32353153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newar Buddhism |
E826658
|
entity |
| Predicate | hasCanonicalTextType |
P10348
|
FINISHED |
| Object | tantras |
—
|
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: tantras | Statement: [Newar Buddhism, hasCanonicalTextType, tantras]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalTextType Context triple: [Newar Buddhism, hasCanonicalTextType, tantras]
-
A.
hasCanonicalCharacter
Indicates that something is associated with or defined by its standard, officially recognized character representation.
-
B.
hasTextualCharacter
Indicates that something possesses or exhibits the qualities of written or printed text, such as letters, symbols, or characters.
-
C.
hasCanonicalCategory
Indicates that something is associated with its standard or officially recognized category within a classification system.
-
D.
hasCanonicalRepresentation
Indicates that one entity is the standard or authoritative form in which another entity is represented.
-
E.
haveMajorTextTypes
chosen
Indicates that an entity possesses or is associated with specific primary categories or types of texts.
- 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_69f34915a2588190bb3178f5ec2f48f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fed48d8e148190a99c0aea29f8a3ee |
completed | May 9, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fed3c82a24819095e614e31ac0307f |
completed | May 9, 2026, 6:27 a.m. |
Created at: May 1, 2026, 12:49 a.m.