Triple
T1789314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marans |
E39458
|
entity |
| Predicate | feathering |
P4573
|
FINISHED |
| Object | lightly feathered legs (French standard) |
—
|
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: lightly feathered legs (French standard) | Statement: [Marans, feathering, lightly feathered legs (French standard)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feathering Context triple: [Marans, feathering, lightly feathered legs (French standard)]
-
A.
legFeathering
chosen
Indicates that an entity possesses feathers growing on or covering its legs.
-
B.
plumageFeature
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
-
C.
fine
Indicates that an authority imposes a monetary penalty on an entity for violating a rule, law, or agreement.
-
D.
fly
Indicates movement through the air, typically by using wings or an aircraft, from one location to another.
-
E.
typeOfWing
Indicates the specific kind or category of wing that an entity possesses or is associated with.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab75457e54819096b8c6ae8c65550c |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61d165688190924962a98e07ff69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.