Triple
T8029985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eared grebe |
E186951
|
entity |
| Predicate | breedingFeature |
P5982
|
FINISHED |
| Object | golden ear tufts |
—
|
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: golden ear tufts | Statement: [Eared grebe, breedingFeature, golden ear tufts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: breedingFeature Context triple: [Eared grebe, breedingFeature, golden ear tufts]
-
A.
reproductiveFeature
chosen
Indicates a relationship where an entity possesses or is characterized by a particular reproductive trait, structure, or capability.
-
B.
breedingMethod
Indicates the technique or process by which organisms are bred or reproduced.
-
C.
breedingGoal
Indicates that one entity is the intended objective or target outcome of a breeding process involving another entity.
-
D.
breedingUse
Indicates that one entity is used for breeding or reproductive purposes with respect to another entity.
-
E.
breed
Indicates that an organism reproduces to generate offspring, typically with another organism of the same species.
- F. None of above.
Provenance (3 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ecf0f2c819091899211003c461e |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:22 p.m.