Triple
T37937332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalachakra tantra |
E946382
|
entity |
| Predicate | textGroup |
P16559
|
FINISHED |
| Object | Kalachakra root tantra |
—
|
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: Kalachakra root tantra | Statement: [Kalachakra tantra, textGroup, Kalachakra root tantra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textGroup Context triple: [Kalachakra tantra, textGroup, Kalachakra root tantra]
-
A.
letterGroups
Indicates that entities are organized or associated into specific groups based on letters or letter-based criteria.
-
B.
textType
Indicates the classification of a text according to its type, format, or genre.
-
C.
labelGroup
chosen
Indicates that an entity is assigned to or associated with a particular group label used for categorization or organization.
-
D.
textBy
Indicates that a given text or written content was authored or produced by a particular entity.
-
E.
stringGrouping
Indicates a relationship where multiple strings are collected or organized together into a defined group or category.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.