Triple
T2032148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capra hircus |
E44540
|
entity |
| Predicate | stomachCompartments |
P1545
|
FINISHED |
| Object | four |
—
|
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 | Statement: [Capra hircus, stomachCompartments, four]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stomachCompartments Context triple: [Capra hircus, stomachCompartments, four]
-
A.
compartment
Indicates that one entity is a distinct, enclosed or functionally separated part or section within another entity.
-
B.
digestiveSystem
Indicates the relationship in which an entity possesses or is associated with a system responsible for breaking down food and absorbing nutrients.
-
C.
seatOfBody
Indicates that one entity serves as the physical location or base where another entity (typically an organization or authority) is situated or headquartered.
-
D.
hasBodyCavity
Indicates that an organism possesses an internal body cavity or space within its body structure.
-
E.
numberOfChambers
chosen
Indicates the count of distinct chambers or compartments associated with an entity.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9313134819088133fb69b8f606f |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.