Triple
T16731754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuh district |
E406607
|
entity |
| Predicate | majorLanguage |
P207
|
FINISHED |
| Object | Mewati |
E161534
|
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: Mewati | Statement: [Nuh district, majorLanguage, Mewati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mewati Context triple: [Nuh district, majorLanguage, Mewati]
-
A.
Mewati
chosen
Mewati is an Indo-Aryan language variety spoken primarily in the Mewat region of northwestern India, associated with the Meo community.
-
B.
Ghatak
Ghatak is a Bengali surname notably associated with the influential Indian filmmaker and playwright Ritwik Ghatak.
-
C.
Ghatak
Ghatak is a 1996 Hindi action drama film starring Sunny Deol and Meenakshi Seshadri, known for its intense performances and powerful portrayal of social injustice.
-
D.
Mrigayaa
Mrigayaa is a 1976 Indian Bengali-language film directed by Mrinal Sen, known for its powerful social commentary and for featuring one of Mithun Chakraborty’s earliest acclaimed performances.
-
E.
Ketaki
Ketaki is a central female character in Rabindranath Tagore’s novel "Shesher Kobita," known for her modern outlook and complex romantic relationship with the protagonist, Amit.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c362bb88190921fab43d76c3ee8 |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d4a94688190aabe56c34e8cc2c3 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.