Triple
T12502154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Sussex |
E298852
|
entity |
| Predicate | malePlumageDescription |
P1334
|
FINISHED |
| Object | more pronounced silver and black contrast |
—
|
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: more pronounced silver and black contrast | Statement: [Silver Sussex, malePlumageDescription, more pronounced silver and black contrast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: malePlumageDescription Context triple: [Silver Sussex, malePlumageDescription, more pronounced silver and black contrast]
-
A.
malePlumage
chosen
Indicates that the specified plumage belongs to or characterizes the male individual of a species.
-
B.
maleBreedingPlumageFeature
Indicates that the relationship involves a physical or visual characteristic specifically associated with a male’s breeding-season plumage.
-
C.
femalePlumageFeature
Indicates that the specified plumage feature is characteristic of the female individual in a species.
-
D.
hasPrimaryPlumageColor
Indicates that an entity’s main or most dominant plumage (feather) color is a specified color.
-
E.
plumageMarkingsColor
Indicates the color of the markings or patterns present on an entity's plumage.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:57 p.m.