Triple
T31544652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | red nucleus |
E804841
|
entity |
| Predicate | lessProminentIn |
P171953
|
FINISHED |
| Object | adult humans |
—
|
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: adult humans | Statement: [red nucleus, lessProminentIn, adult humans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lessProminentIn Context triple: [red nucleus, lessProminentIn, adult humans]
-
A.
unitOfProminence
Indicates that one entity specifies the unit or scale in which the prominence or significance of another entity is measured or expressed.
-
B.
lessWorthyThan
Indicates that one entity is considered to have lower value, merit, or worth compared to another entity.
-
C.
lessSevereIn
Indicates that one condition, event, or factor has a lower level of severity than another within a specified context.
-
D.
lessActiveThan
Indicates that one entity exhibits a lower level of activity or engagement compared to another entity.
-
E.
lessFeatureRichThan
Indicates that one entity has fewer or less advanced features or capabilities than another entity.
- 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_69f348d11a048190a65eb8384a3754ac |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a956e9b08190bf83547bba8e8147 |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8036ab481908019f2f071fa406e |
completed | May 3, 2026, 1:42 a.m. |
Created at: April 30, 2026, 10:07 p.m.