Triple
T14594819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babur/Bura people |
E342529
|
entity |
| Predicate | ethnolinguisticGroup |
P3349
|
FINISHED |
| Object | Bura–Pabir |
E225048
|
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: Bura–Pabir | Statement: [Babur/Bura people, ethnolinguisticGroup, Bura–Pabir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bura–Pabir Context triple: [Babur/Bura people, ethnolinguisticGroup, Bura–Pabir]
-
A.
Bura-Pabir
chosen
Bura-Pabir is a major West Chadic language spoken primarily in northeastern Nigeria by the Bura and Pabir ethnic groups.
-
B.
Pabir
The Pabir are an ethnic group of West Africa, closely associated with the Bura people and primarily found in northeastern Nigeria.
-
C.
Pandua
Pandua is a historic city in present-day West Bengal, India, that served as an important political and cultural center during the medieval Bengal Sultanate.
-
D.
Terai
Terai is a low-lying, fertile plains region at the foothills of the Himalayas, known for its rich agriculture and distinctive ecology across parts of northern India and Nepal.
-
E.
Kabrai
Kabrai is a town in Uttar Pradesh, India, known primarily for its stone mining and crushing industry.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43581348190b5362251c3a89654 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94c81e608190848c290defcd84ac |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.