Triple
T18315145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tadorna |
E438735
|
entity |
| Predicate | includesSpecies |
P10920
|
FINISHED |
| Object | Tadorna ferruginea |
—
|
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: Tadorna ferruginea | Statement: [Tadorna, includesSpecies, Tadorna ferruginea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tadorna ferruginea Context triple: [Tadorna, includesSpecies, Tadorna ferruginea]
-
A.
Tadorna
chosen
Tadorna is a genus of large, colorful waterfowl commonly known as shelducks, found across Eurasia, Africa, and Australasia.
-
B.
Branta ruficollis
Branta ruficollis, commonly known as the red-breasted goose, is a strikingly colored, small Arctic-breeding goose species native to Siberia and wintering mainly around the Black Sea.
-
C.
Eurasian avocet
The Eurasian avocet is a striking black-and-white wading bird known for its long, upcurved bill and preference for shallow coastal wetlands and lagoons.
-
D.
Larus
Larus is a genus of medium to large gulls commonly found in coastal and inland waters across much of the world.
-
E.
Eurasian spoonbill
The Eurasian spoonbill is a large, long-legged wading bird known for its distinctive spoon-shaped bill, which it uses to sweep through shallow waters to feed on aquatic prey.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021cc70c8190bf43bd75e4af7381 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.