Triple
T36666808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiira Power Station |
E905286
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Uganda Nile basin
The Uganda Nile basin is the portion of the Nile River system that flows through Uganda, encompassing key stretches of the river and its associated lakes, wetlands, and hydroelectric infrastructure.
|
E902322
|
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: Uganda Nile basin | Statement: [Kiira Power Station, locatedIn, Uganda Nile basin]
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: Uganda Nile basin Triple: [Kiira Power Station, locatedIn, Uganda Nile basin]
Generated description
The Uganda Nile basin is the portion of the Nile River system that flows through Uganda, encompassing key stretches of the river and its associated lakes, wetlands, and hydroelectric infrastructure.
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_69f76e6f10008190aea41746aa1b186e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c780ecd0819080da2a286bf91257 |
completed | May 3, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a20d654fc81908216ac9680f56464 |
completed | June 23, 2026, 5:59 a.m. |
| NEDg | Description generation | batch_6a3a21d045cc81908d61119fb621f7b6 |
completed | June 23, 2026, 6:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3a225b99788190bafbd7ccb4a652b9 |
completed | June 23, 2026, 6:06 a.m. |
Created at: May 3, 2026, 4:12 p.m.