Triple
T2032155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capra hircus |
E44540
|
entity |
| Predicate | milkComposition |
P35422
|
FINISHED |
| Object | higher fat and protein than cow milk |
—
|
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: higher fat and protein than cow milk | Statement: [Capra hircus, milkComposition, higher fat and protein than cow milk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: milkComposition Context triple: [Capra hircus, milkComposition, higher fat and protein than cow milk]
-
A.
proteinContent
Indicates the amount or proportion of protein present in a given entity or substance.
-
B.
feedingType
Indicates the manner or method by which one entity provides nourishment or food to another.
-
C.
coFormulatedWith
Indicates that one entity is formulated together with another as part of the same combined product or composition.
-
D.
feedingStructure
Indicates a relationship where one entity serves as the anatomical or mechanical structure used by another entity to obtain or ingest food.
-
E.
dryMass
Indicates the mass of an object excluding any contained fluids, propellants, or other consumable materials.
- 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_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. |
| PDg | Predicate description generation | batch_69abb90ec7948190bbfb0329e9e67cca |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:38 p.m.