Triple
T24916284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OEIS A002850 |
E623992
|
entity |
| Predicate | hasFirstTerms |
P162848
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [OEIS A002850, hasFirstTerms, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstTerms Context triple: [OEIS A002850, hasFirstTerms, 3]
-
A.
hasFirstTerm
Indicates that an entity is associated with a specific first term in an ordered sequence, period, or series.
-
B.
hasFirstTermIndex
Indicates that one entity specifies the starting position or index of the first term within another ordered sequence or structure.
-
C.
hasTerm
Indicates that an entity includes, is associated with, or is defined by a specific term or condition.
-
D.
hasFirstPart
Indicates that one entity is the initial or earliest part, segment, or component of another entity in an ordered whole.
-
E.
hasNumberOfTerms
Indicates the quantity of distinct terms or elements associated with a given entity or expression.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f62e83045c8190a424a2e401a88e9e |
completed | May 2, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d886828819080ec2f742b9449e3 |
completed | May 2, 2026, 4:59 p.m. |
Created at: April 18, 2026, 5:28 a.m.