Triple
T18485393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirounga angustirostris |
E451674
|
entity |
| Predicate | adultFemaleColoration |
P125455
|
FINISHED |
| Object | silver-gray to brown |
—
|
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: silver-gray to brown | Statement: [Mirounga angustirostris, adultFemaleColoration, silver-gray to brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adultFemaleColoration Context triple: [Mirounga angustirostris, adultFemaleColoration, silver-gray to brown]
-
A.
adultWormColor
Indicates the color exhibited by an organism when it is in its adult worm stage.
-
B.
coatColorFemale
chosen
Indicates the coat color characteristic specifically associated with female individuals of a species.
-
C.
wingColorFemale
Indicates that the relationship specifies the color of the wings of a female individual.
-
D.
femaleCrownColor
Indicates the color of the crown (top of the head) specifically for the female individual in a species or group.
-
E.
femaleFigure1Attribute
Indicates that the first female figure possesses or is characterized by a specific attribute.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d6502c8190af167b954bf8e989 |
completed | April 19, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:35 a.m.