Triple
T23372150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White stork |
E593503
|
entity |
| Predicate | binomialName |
P569
|
FINISHED |
| Object | Ciconia ciconia |
—
|
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: Ciconia ciconia | Statement: [White stork, binomialName, Ciconia ciconia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ciconia ciconia Context triple: [White stork, binomialName, Ciconia ciconia]
-
A.
Ciconia
Ciconia is a genus of large, long-legged storks that includes several well-known species found across Europe, Asia, and Africa.
-
B.
White stork
chosen
The white stork is a large, long-legged migratory bird of Europe, Asia, and Africa, famous for its striking black-and-white plumage and cultural association with delivering babies.
-
C.
Coragyps
Coragyps is a genus of New World vultures best known for the black vulture, a scavenging bird widely distributed across the Americas.
-
D.
Ciconiidae
Ciconiidae is a family of large, long-legged wading birds commonly known as storks, found in many regions worldwide.
-
E.
Larus
Larus is a genus of medium to large gulls commonly found in coastal and inland waters across much of the world.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3af45ec8190a32aa4e5f04f6756 |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:32 p.m.