Triple
T20044726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markandeya Purana |
E497527
|
entity |
| Predicate | laterTransmittedAs |
P138485
|
FINISHED |
| Object | written manuscripts |
—
|
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: written manuscripts | Statement: [Markandeya Purana, laterTransmittedAs, written manuscripts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterTransmittedAs Context triple: [Markandeya Purana, laterTransmittedAs, written manuscripts]
-
A.
laterTransmission
Indicates that one transmission event occurs after another in time.
-
B.
transmittedIn
Indicates that something (such as information, a signal, or a disease) is passed or conveyed within or through a particular medium, environment, or context.
-
C.
isTransmittedBy
Indicates that something (such as information, a signal, or a disease) is passed or conveyed from one entity to another through a specified agent or medium.
-
D.
transcribedAs
Indicates that one entity is a written or recorded representation of another entity’s content, typically converting it from one form (e.g., audio, handwriting) into text.
-
E.
transmittedFrom
Indicates that something (such as information, a signal, or a disease) has been passed or conveyed from one source entity to another.
- F. None of above. chosen
Provenance (4 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662eea09481908d1001165e9d719c |
completed | April 20, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:37 p.m.