Triple
T58997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannon entropy |
E1168
|
entity |
| Predicate | isConcaveIn |
P4231
|
FINISHED |
| Object | probability distribution |
—
|
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: probability distribution | Statement: [Shannon entropy, isConcaveIn, probability distribution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isConcaveIn Context triple: [Shannon entropy, isConcaveIn, probability distribution]
-
A.
containsPoint
Indicates that a geometric region or shape includes a given point within its boundaries.
-
B.
isSpurOf
Indicates that one entity is a secondary offshoot, branch, or derivative extension originating from another primary entity.
-
C.
hasValley
Indicates that one entity contains, features, or is characterized by the presence of a valley associated with the other entity.
-
D.
isArtificial
Indicates that an entity is man-made or produced by human design rather than occurring naturally.
-
E.
isOn
Indicates that one entity is physically positioned above and in contact with the top surface of 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_69a24a552ef88190a0df287d68c65cba |
completed | Feb. 28, 2026, 1:52 a.m. |
| NER | Named-entity recognition | batch_69a250e401288190ba12322c9c5f07c9 |
completed | Feb. 28, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69a24e9f40908190a2f4a2111469b733 |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a250e2a80881909e5a653260e6f8e0 |
completed | Feb. 28, 2026, 2:20 a.m. |
Created at: Feb. 28, 2026, 1:55 a.m.