Triple
T13729219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | vaquita marina |
E329747
|
entity |
| Predicate | clase |
P111330
|
FINISHED |
| Object | Mammalia |
—
|
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: Mammalia | Statement: [vaquita marina, clase, Mammalia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clase Context triple: [vaquita marina, clase, Mammalia]
-
A.
academyClass
Indicates that an entity is a class, course, or instructional grouping offered within an academy or educational institution.
-
B.
draftClass
Indicates that an entity is assigned to or associated with a particular draft classification or category.
-
C.
infraclass
Indicates a taxonomic relationship where one entity is classified as an infraclass, a rank below subclass and above order, within the biological hierarchy of another.
-
D.
designClass
Indicates that one entity is the design or blueprint class from which the other entity is derived or instantiated.
-
E.
claspIndicates
Indicates a relationship where one entity grasps, holds, or fastens onto another, typically in a secure or enclosing manner.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:55 p.m.