Triple
T27556872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whittle likelihood |
E695659
|
entity |
| Predicate | minimizedAs |
P10674
|
FINISHED |
| Object | Whittle contrast function |
—
|
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: Whittle contrast function | Statement: [Whittle likelihood, minimizedAs, Whittle contrast function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimizedAs Context triple: [Whittle likelihood, minimizedAs, Whittle contrast function]
-
A.
minimizedBy
chosen
Indicates that one entity serves to reduce, lessen, or make as small as possible the value, effect, or impact of another entity.
-
B.
miniaturizedBy
Indicates that an entity has been made smaller in size or scale by another entity or process.
-
C.
reducedVersionOf
Indicates that one entity is a simplified, shortened, or otherwise less extensive form of another entity while preserving its essential content or function.
-
D.
miniaturizedIn
Indicates that one entity exists as a smaller-scale or reduced-size version within or relative to another entity.
-
E.
minimality
Indicates that something has the smallest or least possible value, size, or complexity among a relevant set, such that no strictly smaller or simpler alternative satisfies the same conditions.
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f64dbbaefc8190952b8320bf4397d8 |
completed | May 2, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 1:37 p.m.