Triple
T1789329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marans |
E39458
|
entity |
| Predicate | eggColorTrait |
P32408
|
FINISHED |
| Object | dark pigment concentrated in outer shell layer |
—
|
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: dark pigment concentrated in outer shell layer | Statement: [Marans, eggColorTrait, dark pigment concentrated in outer shell layer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eggColorTrait Context triple: [Marans, eggColorTrait, dark pigment concentrated in outer shell layer]
-
A.
eagleBeakColor
Indicates the color attribute associated with the beak of an eagle.
-
B.
eggType
Indicates the specific category or kind of egg associated with an entity (e.g., its classification or type).
-
C.
eagleClawColor
Indicates the color attribute associated with an eagle's claws.
-
D.
typicalCoatColor
Indicates the usual or most common coat color associated with an entity, such as an animal or breed.
-
E.
plumageFeature
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
- 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_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. |
| PDg | Predicate description generation | batch_69ab75444d28819091c393e62fc97f82 |
completed | March 7, 2026, 12:45 a.m. |
Created at: March 4, 2026, 7:32 p.m.