Triple
T24963440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OEIS A002851 |
E624671
|
entity |
| Predicate | a(10) |
P114016
|
FINISHED |
| Object | 34496488594816 |
—
|
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: 34496488594816 | Statement: [OEIS A002851, a(10), 34496488594816]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: a(10) Context triple: [OEIS A002851, a(10), 34496488594816]
-
A.
tenthTerm
chosen
Indicates that one entity is the tenth term in a sequence or ordered list associated with another entity.
-
B.
B_10
Indicates that one entity is located inside or contained within another entity.
-
C.
B10
Indicates a generic or unspecified relationship between entities labeled under the code B10, whose specific semantic meaning is not defined by the predicate name alone.
-
D.
tenthStation
Indicates that an entity occupies or is associated with the tenth position or station in an ordered sequence.
-
E.
tenthMonth
Indicates that something occurs in, is assigned to, or is associated with the tenth month in a given calendar or ordered sequence of months.
- 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_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. |
Created at: April 18, 2026, 5:59 a.m.