Triple
T7865294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuculiformes |
E182599
|
entity |
| Predicate | zygodactylFeetDescription |
P79442
|
FINISHED |
| Object | two toes forward and two toes backward |
—
|
LITERAL 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: two toes forward and two toes backward | Statement: [Cuculiformes, zygodactylFeetDescription, two toes forward and two toes backward]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zygodactylFeetDescription Context triple: [Cuculiformes, zygodactylFeetDescription, two toes forward and two toes backward]
-
A.
hasToeCount
Indicates that an entity possesses a specified number of toes.
-
B.
hasHindLegsOf
Indicates that one entity possesses or is characterized by the hind legs belonging to or derived from another entity.
-
C.
hasHoovesOf
Indicates that one entity possesses or is characterized by the hooves belonging to another entity.
-
D.
numberOfLegs
Indicates the quantity of legs that an entity possesses.
-
E.
hasStandardToeCount
Indicates that an entity possesses the typical or expected number of toes for its kind.
- F. None of above. chosen
Provenance (4 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3844eacc81908f8e1e5fc4dafec8 |
completed | March 31, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:54 p.m.