Triple
T21907224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diceros |
E540970
|
entity |
| Predicate | commonName |
P570
|
FINISHED |
| Object | Diceros |
—
|
NE NERFINISHED |
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: Diceros | Statement: [Diceros, commonName, Diceros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diceros Context triple: [Diceros, commonName, Diceros]
-
A.
Diceros
chosen
Diceros is a genus of African rhinoceroses best known for including the black rhinoceros.
-
B.
Diceros bicornis
Diceros bicornis, commonly known as the black rhinoceros, is a critically endangered African rhino species distinguished by its hooked upper lip and two horns.
-
C.
Aepyceros melampus
Aepyceros melampus, commonly known as the impala, is a medium-sized African antelope renowned for its agility, leaping ability, and prominence in savanna ecosystems.
-
D.
Kobus megaceros
Kobus megaceros is the Nile lechwe, a semi-aquatic antelope species native to the floodplains and swamps of South Sudan and Ethiopia.
-
E.
Aepyceros
Aepyceros is a genus of African antelopes best known for including the impala, a medium-sized, agile species common in savanna and woodland habitats.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d74d388190be58b937c486fa69 |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:38 p.m.