Triple
T1137211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namdev |
E23167
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Marathi |
E3586
|
NE 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: Marathi | Statement: [Namdev, language, Marathi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marathi Context triple: [Namdev, language, Marathi]
-
A.
Marathi language
chosen
Marathi language is an Indo-Aryan language predominantly spoken in the Indian state of Maharashtra and surrounding regions, with a rich literary tradition and official status in the state.
-
B.
Maharashtri Prakrit
Maharashtri Prakrit is an ancient Middle Indo-Aryan language historically used in western and central India, especially in classical poetry and drama, and is a key ancestor of several modern Indo-Aryan languages.
-
C.
Konkani
Konkani is an Indo-Aryan language spoken primarily along India’s Konkan coast, especially in Goa and parts of Karnataka and Maharashtra.
-
D.
Gujarati
Gujarati is an Indo-Aryan language primarily spoken in the Indian state of Gujarat and by Gujarati communities worldwide.
-
E.
Hindi
Hindi is an Indo-Aryan language widely spoken across northern and central India and used in government, education, media, and popular culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc2450c481909b9264e170070326 |
completed | March 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f6b70d081909c6d6f9c790f6bd6 |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:44 p.m.