Triple
T20288932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramachandra |
E509963
|
entity |
| Predicate | scriptVariant |
P4680
|
FINISHED |
| Object | रामचन्द्र |
—
|
NE NERFINISHED |
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: रामचन्द्र | Statement: [Ramachandra, scriptVariant, रामचन्द्र]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: रामचन्द्र Context triple: [Ramachandra, scriptVariant, रामचन्द्र]
-
A.
Ramachandra
Ramachandra, better known as Tatya Tope, was a prominent Indian general and key leader of the 1857 Indian Rebellion against British rule.
-
B.
Ramachandra
chosen
Ramachandra is a common Indian male given name of Sanskrit origin, often associated with the Hindu deity Lord Rama.
-
C.
Rama
Rama is a Palestinian village in the Galilee region of northern Israel, historically notable for its capture during the 1948 Arab–Israeli War.
-
D.
Rama
Rama is a First Nations community in Ontario, Canada, known for the Chippewas of Rama First Nation and the Casino Rama resort.
-
E.
Rama
Rama is a well-known margarine and spread brand widely used for cooking and baking in various international markets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67694d50881909d59c1037295c1d0 |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:10 a.m.