Triple
T19761977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grevilleoideae |
E474650
|
entity |
| Predicate | containsTaxon |
P9413
|
FINISHED |
| Object | Orites |
—
|
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: Orites | Statement: [Grevilleoideae, containsTaxon, Orites]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orites Context triple: [Grevilleoideae, containsTaxon, Orites]
-
A.
Orites
chosen
Orites is a small genus of evergreen shrubs and trees in the family Proteaceae, native to regions such as Australia and South America and known for its leathery leaves and clustered flowers.
-
B.
Sothoryos
Sothoryos is a vast, largely unexplored southern continent in the world of "A Song of Ice and Fire," known for its dense jungles, deadly diseases, and mysterious, sparsely documented civilizations.
-
C.
Ozian
Ozian refers to a fictional inhabitant of the Land of Oz, the magical realm featured in L. Frank Baum’s Oz book series.
-
D.
Pelasgikon Oros
Pelasgikon Oros is a mythological mountain associated with the ancient Pelasgians in Greek tradition, regarded as one of the primordial divine mountains (Ourea).
-
E.
Oros
Oros is a surname most notably associated with Joe Oros, an American automobile designer known for his work at Ford.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6532004d08190944234d35e74085b |
completed | April 20, 2026, 4:24 p.m. |
Created at: April 10, 2026, 1:48 p.m.