Triple
T24963432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OEIS A002851 |
E624671
|
entity |
| Predicate | a(2) |
P157277
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [OEIS A002851, a(2), 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: a(2) Context triple: [OEIS A002851, a(2), 1]
-
A.
B_2
Indicates a secondary or alternative type of binary relationship between two entities, often used as a variant or refinement of a primary relation B.
-
B.
B2
Indicates a secondary or alternative relationship between two entities, often representing a variant, backup, or subordinate connection to a primary relation.
-
C.
areA
Indicates that one entity is classified as a type, instance, or member of another entity or category.
-
D.
axiom2
Indicates that the relationship or action is taken as a fundamental, assumed truth within the system, serving as a base rule from which other statements are derived.
-
E.
B_1
Indicates that one entity is the first or primary instance/member in an ordered series or group relative to another entity.
- 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4242f0968819098c3f0f92054d22f |
completed | May 1, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f423637bec8190a1701421ac86a3b7 |
completed | May 1, 2026, 3:52 a.m. |
Created at: April 18, 2026, 5:59 a.m.