Triple
T38138850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia CS 9363 |
E952423
|
entity |
| Predicate | hasMatrixPrefix |
P130153
|
FINISHED |
| Object | XSM |
—
|
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: XSM | Statement: [Columbia CS 9363, hasMatrixPrefix, XSM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMatrixPrefix Context triple: [Columbia CS 9363, hasMatrixPrefix, XSM]
-
A.
hasMatrixType
Indicates that an entity is associated with or characterized by a specific type or category of matrix.
-
B.
hasMatrixColumn
Indicates that one entity is a specific column within the matrix represented by another entity.
-
C.
hasMatrixNumber
Indicates that an entity is associated with a specific matrix identification number used to uniquely reference it.
-
D.
hasMatrixSize
Indicates that an entity (such as a matrix or array) has a specific dimensional size, typically expressed as its number of rows and columns.
-
E.
associatedMatrixPrefix
chosen
Indicates that one entity serves as a matrix-related prefix or leading component that is systematically associated with another entity.
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.