Triple
T1997732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bos taurus |
E43395
|
entity |
| Predicate | stomachType |
P35363
|
FINISHED |
| Object | four-chambered stomach |
—
|
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: four-chambered stomach | Statement: [Bos taurus, stomachType, four-chambered stomach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stomachType Context triple: [Bos taurus, stomachType, four-chambered stomach]
-
A.
digestiveSystem
Indicates the relationship in which an entity possesses or is associated with a system responsible for breaking down food and absorbing nutrients.
-
B.
digestiveMethod
Indicates the way or process by which an entity digests or breaks down food or nutrients.
-
C.
shellType
Indicates the type or classification of a shell associated with an entity (e.g., its form, structure, or category).
-
D.
stemType
Indicates the type or form of a stem that an entity possesses or is characterized by.
-
E.
crustType
Indicates the specific style or form of crust associated with an item, such as a pizza or baked good.
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb79c97d48190b3147430ed39faa9 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb90ec7948190bbfb0329e9e67cca |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:37 p.m.