Triple
T4443241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LinearAlgebra |
E96219
|
entity |
| Predicate | exportsConstant |
P56535
|
FINISHED |
| Object | I |
—
|
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: I | Statement: [LinearAlgebra, exportsConstant, I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exportsConstant Context triple: [LinearAlgebra, exportsConstant, I]
-
A.
usesConstant
Indicates that one entity makes use of a specific constant value defined or provided by another entity.
-
B.
includesConstant
Indicates that one entity contains or explicitly references a specific constant value within its definition or structure.
-
C.
relatedConstant
Indicates that one entity is a fixed, unchanging value or constant that is associated with or linked to another entity.
-
D.
otherExports
Indicates that an entity exports additional goods or services beyond its primary or specifically listed export categories.
-
E.
exportsFrom
Indicates that goods, services, or resources are sent out or traded from one entity or location to another.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355aef21c819088f168a23f1933a6 |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f62c180819097ced38da2052207 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b35034cd248190bae09e9d090e13ec |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:32 p.m.