Triple
T22666358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poisson equation |
E559802
|
entity |
| Predicate | sourceTerm |
P145692
|
FINISHED |
| Object | function f |
—
|
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: function f | Statement: [Poisson equation, sourceTerm, function f]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceTerm Context triple: [Poisson equation, sourceTerm, function f]
-
A.
source
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
B.
componentTerm
chosen
Indicates that one term functions as a component or constituent part of another term within a larger conceptual or structural whole.
-
C.
sourceCategory
Indicates the classification or type from which something originates or is derived.
-
D.
sourceState
Indicates the original or starting state from which a transition, change, or process begins.
-
E.
sourceBasin
Indicates that one entity is the drainage basin or watershed from which another entity (such as a river segment or water body) originates or receives its source waters.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781c2c808190baf6964ca1eced6f |
completed | April 29, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:09 p.m.