Triple
T3229781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berom people |
E67710
|
entity |
| Predicate | notableFestival |
P26210
|
FINISHED |
| Object |
Nzem Berom
Nzem Berom is a major annual cultural festival of the Berom people of Nigeria, showcasing their traditional music, dance, attire, and heritage.
|
E337057
|
NE FINISHED |
How this triple was built (4 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: Nzem Berom | Statement: [Berom people, notableFestival, Nzem Berom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nzem Berom Context triple: [Berom people, notableFestival, Nzem Berom]
-
A.
Mansa
Mansa is a city in the Malwa region of Punjab, India, known primarily as an agricultural and cotton-growing center.
-
B.
Mandura Gumuz
Mandura Gumuz is a Gumuz language spoken by the Gumuz people of western Ethiopia.
-
C.
Sena of Tete
Sena of Tete is a regional variety of the Sena Bantu language spoken primarily in and around the Tete province of Mozambique.
-
D.
Djiba
Djiba is a locality in the Ituri region of the Democratic Republic of the Congo, known as the birthplace of militia leader Thomas Lubanga Dyilo.
-
E.
Ngoni
Ngoni is a Bantu language spoken by the Ngoni people of parts of Malawi, Tanzania, Mozambique, and Zambia, reflecting historical migrations from the Zulu region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nzem Berom Triple: [Berom people, notableFestival, Nzem Berom]
Generated description
Nzem Berom is a major annual cultural festival of the Berom people of Nigeria, showcasing their traditional music, dance, attire, and heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nzem Berom Target entity description: Nzem Berom is a major annual cultural festival of the Berom people of Nigeria, showcasing their traditional music, dance, attire, and heritage.
-
A.
Mansa
Mansa is a city in the Malwa region of Punjab, India, known primarily as an agricultural and cotton-growing center.
-
B.
Mandura Gumuz
Mandura Gumuz is a Gumuz language spoken by the Gumuz people of western Ethiopia.
-
C.
Sena of Tete
Sena of Tete is a regional variety of the Sena Bantu language spoken primarily in and around the Tete province of Mozambique.
-
D.
Djiba
Djiba is a locality in the Ituri region of the Democratic Republic of the Congo, known as the birthplace of militia leader Thomas Lubanga Dyilo.
-
E.
Ngoni
Ngoni is a Bantu language spoken by the Ngoni people of parts of Malawi, Tanzania, Mozambique, and Zambia, reflecting historical migrations from the Zulu region.
- F. None of above. chosen
Provenance (5 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb826588190a93bcfb1242310e7 |
completed | March 8, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b262692f28819087bcf0ec4316f5a5 |
completed | March 12, 2026, 6:51 a.m. |
| NEDg | Description generation | batch_69b2638b3b2881909563356ea8a9611c |
completed | March 12, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b264fb42e4819084c289235f33b654 |
completed | March 12, 2026, 7:02 a.m. |
Created at: March 8, 2026, 3:08 p.m.