Triple
T33963896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shekkacho language |
E870796
|
entity |
| Predicate | primaryRegion |
P1103
|
FINISHED |
| Object |
Sheka Zone, Southern Nations, Nationalities, and Peoples' Region
Sheka Zone in Ethiopia’s Southern Nations, Nationalities, and Peoples' Region is an administrative area known for its ethnolinguistic diversity, forested highlands, and rich agricultural production.
|
E2075259
|
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: Sheka Zone, Southern Nations, Nationalities, and Peoples' Region | Statement: [Shekkacho language, primaryRegion, Sheka Zone, Southern Nations, Nationalities, and Peoples' Region]
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: Sheka Zone, Southern Nations, Nationalities, and Peoples' Region Triple: [Shekkacho language, primaryRegion, Sheka Zone, Southern Nations, Nationalities, and Peoples' Region]
Generated description
Sheka Zone in Ethiopia’s Southern Nations, Nationalities, and Peoples' Region is an administrative area known for its ethnolinguistic diversity, forested highlands, and rich agricultural production.
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_69f3499ce8e88190b66e1d49ad8c7037 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f702d2a54081908d91cc3eb03b69eb |
completed | May 3, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3689e839fc8190b5f84d79ca0a1ce5 |
completed | June 20, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_6a368a9e3d188190890e19e635d9cf9c |
completed | June 20, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a368b58c7848190b708ded1bbc44b60 |
completed | June 20, 2026, 12:45 p.m. |
Created at: May 1, 2026, 1:50 a.m.