Triple
T8255499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monotremata |
E193060
|
entity |
| Predicate | feedingOfYoung |
P15764
|
FINISHED |
| Object | milk secreted onto skin or specialized grooves |
—
|
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: milk secreted onto skin or specialized grooves | Statement: [Monotremata, feedingOfYoung, milk secreted onto skin or specialized grooves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feedingOfYoung Context triple: [Monotremata, feedingOfYoung, milk secreted onto skin or specialized grooves]
-
A.
feedingType
chosen
Indicates the manner or method by which one entity provides nourishment or food to another.
-
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.
feedingSpecialization
Indicates a relationship where an entity is specialized or adapted to feed on a particular type or range of food resources.
-
D.
includesFeedingType
Indicates that one entity encompasses or specifies a particular type or category of feeding associated with another entity.
-
E.
mayBeGivenTo
Indicates that something is permitted or eligible to be transferred, assigned, or provided from one entity to another.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78f9f680819088f1d56e0f98974f |
completed | March 31, 2026, 7:34 a.m. |
| PD | Predicate disambiguation | batch_69cb36b6d5548190b665a6cce14c69f7 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:48 p.m.