Triple
T24081810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chi-square distribution |
E596523
|
entity |
| Predicate |
P154780
|
FINISHED | |
| Object | f(x;k) = 1/(2^{k/2} Γ(k/2)) x^{k/2-1} e^{-x/2} for x>0 |
—
|
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: f(x;k) = 1/(2^{k/2} Γ(k/2)) x^{k/2-1} e^{-x/2} for x>0 | Statement: [chi-square distribution, pdf, f(x;k) = 1/(2^{k/2} Γ(k/2)) x^{k/2-1} e^{-x/2} for x>0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pdf
Context triple: [chi-square distribution, pdf, f(x;k) = 1/(2^{k/2} Γ(k/2)) x^{k/2-1} e^{-x/2} for x>0]
-
A.
paperArchive
Indicates that a paper is stored, preserved, or made available within a particular archive or archival system.
-
B.
paperSelection
Indicates that an entity chooses or designates a specific paper from a set of available options.
-
C.
paperFormat
Indicates the specific size or layout standard in which a paper document is produced or presented.
-
D.
paper1Type
Indicates that one entity is classified as the primary or first type/category of the associated paper entity.
-
E.
pages
Indicates that one entity consists of or contains a certain number of pages, or that a specific page-related attribute is associated with it.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc24b0d081909fcae5e34c6e3b98 |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:43 p.m.