Triple
T1106529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lata Mangeshkar |
E25498
|
entity |
| Predicate | languagesSungIn |
P11404
|
FINISHED |
| Object | Odia |
E24420
|
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: Odia | Statement: [Lata Mangeshkar, languagesSungIn, Odia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odia Context triple: [Lata Mangeshkar, languagesSungIn, Odia]
-
A.
Odia
chosen
Odia is an Indo-Aryan language spoken primarily in the Indian state of Odisha, known for its rich literary tradition and classical language status.
-
B.
Banga
Banga is an Indian-origin surname most prominently associated with Ajay Banga, the business executive and current President of the World Bank.
-
C.
Kurukh
Kurukh is an indigenous Dravidian language spoken primarily by the Oraon tribal communities in eastern and central India.
-
D.
Santhali
Santhali is an Austroasiatic language spoken primarily by the Santal people in eastern India, Bangladesh, Nepal, and Bhutan.
-
E.
Odishi
Odishi is the historical name for a region in western Georgia, corresponding largely to present-day Samegrelo and known for its distinct Mingrelian culture and history.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bb75eec08190b1d6545e96816d34 |
completed | March 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c4cee1881909ca8af01f22bb8bb |
completed | March 7, 2026, 4:03 p.m. |
Created at: March 1, 2026, 7:43 p.m.