Triple
T5461701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian literature |
E122607
|
entity |
| Predicate | hasLanguage |
P15
|
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: [Indian literature, hasLanguage, Odia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odia Context triple: [Indian literature, hasLanguage, 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.
Bangalee
Bangalee is the popular stage nickname of Nigerian singer, songwriter, and harmonica-playing entertainer D'banj, known for his energetic Afrobeats hits.
-
C.
Bangala
Bangala is a regional variety of the Bantu language Lingala, spoken primarily in parts of the Democratic Republic of the Congo and neighboring areas.
-
D.
Sambalpuri
Sambalpuri is an Indo-Aryan language variety spoken primarily in and around the Sambalpur region of western Odisha, India, known for its distinct phonology and rich folk cultural traditions.
-
E.
Banga
Banga is an Indian-origin surname most prominently associated with Ajay Banga, the business executive and current President of the World Bank.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9201dbfc8190bea22d6ecbc25b3e |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf414ebd288190ae90593232ff2db9 |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:08 p.m.