Triple
T24081639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gauss hypergeometric function |
E596519
|
entity |
| Predicate | dependsOnParameters |
P154775
|
FINISHED |
| Object | a |
—
|
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: a | Statement: [Gauss hypergeometric function, dependsOnParameters, a]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dependsOnParameters Context triple: [Gauss hypergeometric function, dependsOnParameters, a]
-
A.
statusDependsOn
Indicates that the status or state of one entity is determined or influenced by the status or state of another entity.
-
B.
conceptuallyDependsOn
Indicates that one entity’s definition, validity, or understanding relies on or is grounded in the concepts provided by another entity.
-
C.
kernelDependsOn
Indicates that one kernel or core software component requires another kernel or component to be present or available in order to function correctly.
-
D.
positionDependsOn
Indicates that the spatial or ordered position of one entity is determined or constrained by the position of another entity.
-
E.
distanceSupportDependsOn
Indicates that the level or type of support provided is contingent on the physical or relational distance between the involved entities.
- 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.