Triple
T33778216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bongomek |
E865579
|
entity |
| Predicate | partOfEthnicIdentityOf |
P1969
|
FINISHED |
| Object |
Bongomek subgroup of Sabaot
The Bongomek subgroup of Sabaot is a small Kalenjin-related community in Kenya’s Mount Elgon region, distinguished by its own dialect and cultural traditions within the broader Sabaot ethnic group.
|
E2067559
|
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: Bongomek subgroup of Sabaot | Statement: [Bongomek, partOfEthnicIdentityOf, Bongomek subgroup of Sabaot]
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: Bongomek subgroup of Sabaot Triple: [Bongomek, partOfEthnicIdentityOf, Bongomek subgroup of Sabaot]
Generated description
The Bongomek subgroup of Sabaot is a small Kalenjin-related community in Kenya’s Mount Elgon region, distinguished by its own dialect and cultural traditions within the broader Sabaot ethnic group.
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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fcc52814819097596d8edd414bbc |
completed | May 3, 2026, 7:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a366587d078819097947525526dce13 |
completed | June 20, 2026, 10:03 a.m. |
| NEDg | Description generation | batch_6a36663e473c81908cb06cf9eb79cfc0 |
completed | June 20, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3666ebe7ec8190a279f7eb183cf157 |
completed | June 20, 2026, 10:09 a.m. |
Created at: May 1, 2026, 1:45 a.m.