Triple
T859298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puranas |
E18563
|
entity |
| Predicate | numberTraditionally |
P8195
|
FINISHED |
| Object | 18 Mahapuranas |
—
|
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: 18 Mahapuranas | Statement: [Puranas, numberTraditionally, 18 Mahapuranas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberTraditionally Context triple: [Puranas, numberTraditionally, 18 Mahapuranas]
-
A.
ordinalNumber
Indicates the position or rank of an entity within an ordered sequence (e.g., first, second, third).
-
B.
number
chosen
Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
-
C.
hasTraditionalName
Indicates that an entity is associated with a name traditionally used or recognized for it, often rooted in long-standing cultural or historical practice.
-
D.
lengthInWords
Indicates the number of words that make up the length of something, typically a text or expression.
-
E.
traditionallyOneOf
Indicates that something is customarily or historically considered to belong to a specific set, category, or group.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac50e5ec81908ac0c4b7123b4ebb |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa834a588190bca4a0eb83fb3eb6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.