Triple
T10468562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naveen |
E246866
|
entity |
| Predicate | hasLanguageOfUse |
P207
|
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: [Naveen, hasLanguageOfUse, Odia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odia Context triple: [Naveen, hasLanguageOfUse, 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.
Odia people
Odia people are an Indo-Aryan ethnic group native to the Indian state of Odisha, known for their distinct language, literature, and rich cultural traditions.
-
C.
Bangalee
Bangalee is the popular stage nickname of Nigerian singer, songwriter, and harmonica-playing entertainer D'banj, known for his energetic Afrobeats hits.
-
D.
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.
-
E.
Gōṇḍī
Gōṇḍī is a South-Central Dravidian language spoken primarily by the Gondi people in central India.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092ef810819093a4d1df83aeac09 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89ff1cd948190a1ef331fb810bf26 |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:20 p.m.