Triple
T19594320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smriti |
E470312
|
entity |
| Predicate | includesTextType |
P5468
|
FINISHED |
| Object | Itihasa (epics) |
—
|
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: Itihasa (epics) | Statement: [Smriti, includesTextType, Itihasa (epics)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesTextType Context triple: [Smriti, includesTextType, Itihasa (epics)]
-
A.
containsText
Indicates that one entity includes the specified text string within its content.
-
B.
textType
chosen
Indicates the classification of a text according to its type, format, or genre.
-
C.
includesMatchType
Indicates that one entity’s set or collection contains an element with a specified type of match (e.g., exact, partial, or pattern-based) to another entity.
-
D.
textsIncludedIn
Indicates that certain texts are contained within, or form a subset of, a larger collection or body of texts.
-
E.
haveMajorTextTypes
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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640793cd88190b9b84491bfb2493f |
completed | April 20, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.