Triple
T13843546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Elizabeth Biosphere Reserve |
E332730
|
entity |
| Predicate | containsSpecies |
P7733
|
FINISHED |
| Object | Ugandan kob |
E400415
|
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: Ugandan kob | Statement: [Queen Elizabeth Biosphere Reserve, containsSpecies, Ugandan kob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ugandan kob Context triple: [Queen Elizabeth Biosphere Reserve, containsSpecies, Ugandan kob]
-
A.
Bulebel
Bulebel is an industrial and residential area forming part of the town of Żejtun in Malta.
-
B.
Ankole
Ankole was a traditional kingdom and region in southwestern Uganda, historically inhabited by the Banyankole people and known for its distinctive long-horned cattle.
-
C.
Rutooro
Rutooro is a Bantu language spoken primarily by the Tooro people in western Uganda.
-
D.
Kobus
chosen
Kobus is a genus of medium-sized African antelopes that includes species such as waterbucks and lechwes, typically associated with wetland and riverside habitats.
-
E.
Dongo
Dongo is a small town on the northwestern shore of Lake Como in Lombardy, Italy, known for its role in the capture of Benito Mussolini at the end of World War II.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02afce788190a74dce4e6a3569fa |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f87c188190b90faf7678cb9ad4 |
completed | May 3, 2026, 9:07 p.m. |
Created at: April 9, 2026, 10:13 p.m.