Triple
T25063590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurent series |
E627725
|
entity |
| Predicate | convergesOn |
P14357
|
FINISHED |
| Object | an annulus around the center |
—
|
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: an annulus around the center | Statement: [Laurent series, convergesOn, an annulus around the center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convergesOn Context triple: [Laurent series, convergesOn, an annulus around the center]
-
A.
convergenceProperty
chosen
Indicates that one entity has a convergence-related characteristic or behavior with respect to another entity, such as approaching a limit or stabilizing under repeated application.
-
B.
formedByConvergenceOf
Indicates that something comes into existence or is created as a result of multiple elements, paths, or processes coming together and uniting.
-
C.
convergentWith
Indicates that two or more entities independently develop similar characteristics, functions, or outcomes, typically in response to comparable conditions or constraints.
-
D.
endsOn
Indicates that one entity terminates or concludes precisely at the boundary or endpoint of another entity.
-
E.
hasNumberOfConvergingAvenues
Indicates the number of distinct avenues that meet or converge at a particular location or junction.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 6:10 a.m.