Triple
T6833386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaussian rationals ℚ(i) |
E157390
|
entity |
| Predicate | embedsInto |
P5376
|
FINISHED |
| Object | ℂ |
—
|
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: ℂ | Statement: [Gaussian rationals ℚ(i), embedsInto, ℂ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: embedsInto Context triple: [Gaussian rationals ℚ(i), embedsInto, ℂ]
-
A.
canBeEmbeddedIn
chosen
Indicates that one entity can be inserted or integrated within another entity, typically preserving structure or compatibility.
-
B.
injectsInto
Indicates that one entity introduces or forces a substance or element into another entity, typically via a directed flow or insertion process.
-
C.
containedWith
Indicates that one entity is located or kept inside the bounds or interior space of another entity.
-
D.
enteredIntoBy
Indicates that an agreement, contract, or formal arrangement has been initiated or established by a particular party.
-
E.
isAComponentOf
Indicates that one entity functions as a constituent part or sub-unit of another, larger 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62b1e8c8190a81d91191a54b073 |
completed | March 27, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.