Triple
T24036510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GL(n,ℂ) |
E595246
|
entity |
| Predicate | determinantMap |
P152466
|
FINISHED |
| Object | det : GL(n,ℂ) → ℂˣ |
—
|
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: det : GL(n,ℂ) → ℂˣ | Statement: [GL(n,ℂ), determinantMap, det : GL(n,ℂ) → ℂˣ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: determinantMap Context triple: [GL(n,ℂ), determinantMap, det : GL(n,ℂ) → ℂˣ]
-
A.
hasDeterminantMapTo
chosen
Indicates that one entity serves as or defines the determinant (e.g., deciding factor or mapping function) that determines or maps to another entity.
-
B.
determinantProperty
Indicates that one property or factor determines, governs, or decisively influences another property or outcome.
-
C.
hasDeterminant
Indicates that one entity functions as a determiner (e.g., article, demonstrative, quantifier) specifying or limiting the reference of another entity, typically a noun or noun phrase.
-
D.
determinant
Indicates that a particular factor or condition has a decisive influence on the outcome, state, or behavior of another entity.
-
E.
determinativeFor
Indicates that one entity serves to uniquely identify, specify, or determine the status, interpretation, or outcome of 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d43884819093e9207a99ae2a70 |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:56 p.m.