Triple
T37709061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jijamata |
E939275
|
entity |
| Predicate | taughtToShivaji |
P61611
|
FINISHED |
| Object | Hindu scriptures and epics such as Ramayana and Mahabharata |
—
|
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: Hindu scriptures and epics such as Ramayana and Mahabharata | Statement: [Jijamata, taughtToShivaji, Hindu scriptures and epics such as Ramayana and Mahabharata]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taughtToShivaji Context triple: [Jijamata, taughtToShivaji, Hindu scriptures and epics such as Ramayana and Mahabharata]
-
A.
roleInShivajisLife
Indicates the specific role, influence, or significance an entity had in the life of Shivaji.
-
B.
taughtThat
chosen
Indicates that one entity provided instruction or education to another entity about a specific subject, skill, or concept.
-
C.
commandedToBeTaught
Indicates that one entity has issued an instruction that another entity is to be taught or instructed in something.
-
D.
taughtThrough
Indicates that one entity provided instruction, education, or training to another entity by means of a specified method, medium, or intermediary.
-
E.
learnedIn
Indicates that an entity acquired knowledge, skills, or information within a particular context, environment, or source.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.