Triple
T7276470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marakele National Park |
E163041
|
entity |
| Predicate | hasAnimal |
P13551
|
FINISHED |
| Object | African buffalo |
E420659
|
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: African buffalo | Statement: [Marakele National Park, hasAnimal, African buffalo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: African buffalo Context triple: [Marakele National Park, hasAnimal, African buffalo]
-
A.
Cape buffalo
chosen
The Cape buffalo is a large, powerful African bovine known for its massive curved horns, unpredictable temperament, and status as one of the continent’s most dangerous and iconic wild animals.
-
B.
Cookson’s wildebeest
Cookson’s wildebeest is a distinctive, localized subspecies of blue wildebeest found primarily in the Luangwa Valley of Zambia.
-
C.
Taurotragus
Taurotragus is a genus of large African antelopes, including the common and giant elands, known for their impressive size and spiral horns.
-
D.
Diceros
Diceros is a genus of African rhinoceroses best known for including the black rhinoceros.
-
E.
Kobus megaceros
Kobus megaceros is the Nile lechwe, a semi-aquatic antelope species native to the floodplains and swamps of South Sudan and Ethiopia.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb2f239c819097c1ac4d6de8b0e5 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db3110688190bf52180ea159c91c |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:59 p.m.