Triple
T19327859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | p-adic numbers |
E483405
|
entity |
| Predicate | hasTopologyInducedBy |
P12678
|
FINISHED |
| Object | p-adic metric |
—
|
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: p-adic metric | Statement: [p-adic numbers, hasTopologyInducedBy, p-adic metric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTopologyInducedBy Context triple: [p-adic numbers, hasTopologyInducedBy, p-adic metric]
-
A.
hasTopology
chosen
Indicates that one entity possesses, exhibits, or is characterized by a particular structural or spatial configuration defined by the other entity.
-
B.
isTopological
Indicates that something possesses the properties or structure required to be considered a topology in the relevant mathematical or spatial context.
-
C.
usesTopology
Indicates that one entity employs, is based on, or operates according to a particular topology defined or provided by another entity.
-
D.
inducedBy
Indicates that one entity is the cause, source, or triggering factor that brings about the existence, occurrence, or state of another entity.
-
E.
hasHomomorphism
Indicates that there exists a structure-preserving map (homomorphism) from one mathematical structure to another.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6163f32f48190be17cccf4e537372 |
completed | April 20, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:33 p.m.