Triple
T37441006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cayley surface |
E930419
|
entity |
| Predicate | fieldOfDefinition |
P188655
|
FINISHED |
| Object | complex numbers |
—
|
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: complex numbers | Statement: [Cayley surface, fieldOfDefinition, complex numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfDefinition Context triple: [Cayley surface, fieldOfDefinition, complex numbers]
-
A.
fieldTheory
Indicates a theoretical framework that describes how physical quantities vary and interact continuously across space and time, typically using fields rather than discrete particles.
-
B.
fieldOfFractions
Indicates that one mathematical structure is the field formed by taking all possible fractions of elements from a given integral domain.
-
C.
residueField
Indicates that one field is the residue (quotient) field obtained from another field by modding out its maximal ideal.
-
D.
definedInField
Indicates that something (such as a concept, method, or element) is formally specified, declared, or established within a particular field, domain, or area of study.
-
E.
fieldElement
Indicates that one entity is an element or member of a specified field (such as a mathematical or data field).
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbacaea12c8190a4c99e64335f0e7e |
completed | May 6, 2026, 9:03 p.m. |
Created at: May 3, 2026, 4:17 p.m.