Triple
T19327880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | p-adic numbers |
E483405
|
entity |
| Predicate | hasBasisOfNeighborhoodsOfZero |
P135627
|
FINISHED |
| Object | powers of p |
—
|
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: powers of p | Statement: [p-adic numbers, hasBasisOfNeighborhoodsOfZero, powers of p]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBasisOfNeighborhoodsOfZero Context triple: [p-adic numbers, hasBasisOfNeighborhoodsOfZero, powers of p]
-
A.
hasBasisIn
Indicates that one entity is founded, derived, or justified on the grounds of another entity.
-
B.
hasCanonicalBasis
Indicates that there exists a standard or preferred basis associated with an entity, typically used as the reference basis in its context.
-
C.
hasZeroDivisors
Indicates that within a given algebraic structure, there exist nonzero elements whose product is zero, i.e., the structure contains zero divisors.
-
D.
hasStandardBasis
Indicates that a given vector space is equipped with or possesses its usual canonical set of basis vectors.
-
E.
hasCoordinateBasis
Indicates that a coordinate system or vector space is associated with a specific basis that defines its coordinates.
- 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_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. |
| PDg | Predicate description generation | batch_69e4e4709d4481908c280cdd2ac18977 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 1:33 p.m.