Triple
T32425243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omi beef |
E828558
|
entity |
| Predicate | animalFeed |
P96215
|
FINISHED |
| Object | carefully managed diet |
—
|
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: carefully managed diet | Statement: [Omi beef, animalFeed, carefully managed diet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animalFeed Context triple: [Omi beef, animalFeed, carefully managed diet]
-
A.
feedingHabitat
Indicates the type of environment or location where an organism typically obtains and consumes its food.
-
B.
feedingStructure
Indicates a relationship where one entity serves as the anatomical or mechanical structure used by another entity to obtain or ingest food.
-
C.
primaryLivestock
Indicates that the specified livestock type is the main or most important kind of animal raised or kept by an entity.
-
D.
animalDietProvided
chosen
Indicates that food appropriate to an animal’s dietary needs is supplied to it.
-
E.
typeOfLivestock
Indicates the specific kind or category of livestock associated with or involved in a given context or 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_69f3491b28bc8190b75cea7a507f337b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c286ac288190843dac21651babd0 |
completed | May 3, 2026, 3:35 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:54 a.m.