Triple
T24822568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OEIS A002849 |
E621099
|
entity |
| Predicate | hasFirstTermIndex |
P160885
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [OEIS A002849, hasFirstTermIndex, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstTermIndex Context triple: [OEIS A002849, hasFirstTermIndex, 0]
-
A.
hasFirstTerm
Indicates that an entity is associated with a specific first term in an ordered sequence, period, or series.
-
B.
hasFirstMinimumAt
Indicates that a function, sequence, or ordered set attains its first (earliest) minimum value at a specified position or element.
-
C.
hasNumberOfTerms
Indicates the quantity of distinct terms or elements associated with a given entity or expression.
-
D.
hasFirstPart
Indicates that one entity is the initial or earliest part, segment, or component of another entity in an ordered whole.
-
E.
hasTerm
Indicates that an entity includes, is associated with, or is defined by a specific term or condition.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f60cd7b3e88190a1206958c0f0b225 |
completed | May 2, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60c32ce088190a620eb59d2499fa9 |
completed | May 2, 2026, 2:37 p.m. |
Created at: April 18, 2026, 5:04 a.m.