Triple
T24963430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OEIS A002851 |
E624671
|
entity |
| Predicate | firstTermIndex |
P160885
|
FINISHED |
| Object | n = 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: n = 1 | Statement: [OEIS A002851, firstTermIndex, n = 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTermIndex Context triple: [OEIS A002851, firstTermIndex, n = 1]
-
A.
firstTermStart
Indicates that an entity marks the starting point or initial term in an ordered sequence, period, or agreement.
-
B.
firstTerms
Indicates that the related entities are the initial elements or starting terms in a sequence, series, or ordered collection.
-
C.
hasFirstTermIndex
chosen
Indicates that one entity specifies the starting position or index of the first term within another ordered sequence or structure.
-
D.
hasFirstTerm
Indicates that an entity is associated with a specific first term in an ordered sequence, period, or series.
-
E.
firstCoefficientProperty
Indicates a property or characteristic specifically associated with the first coefficient in a mathematical or algebraic expression.
- 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_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 18, 2026, 5:59 a.m.