Triple
T9843994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauchy condensation test |
E239293
|
entity |
| Predicate | originalSeriesForm |
P6483
|
FINISHED |
| Object | sum of a_n from n=1 to infinity |
—
|
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: sum of a_n from n=1 to infinity | Statement: [Cauchy condensation test, originalSeriesForm, sum of a_n from n=1 to infinity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSeriesForm Context triple: [Cauchy condensation test, originalSeriesForm, sum of a_n from n=1 to infinity]
-
A.
formerSeries
Indicates that one entity was previously a series associated with another entity, but no longer holds that status.
-
B.
originalForm
chosen
Indicates that one entity is the earlier, source, or initial version from which another entity is derived or transformed.
-
C.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
D.
primarySeries
Indicates that one entity is the main or principal sequence, set, or collection to which another entity is related or belongs.
-
E.
mainSeries
Indicates that one creative work is the primary or canonical series to which another related work (such as a spin-off, side story, or adaptation) belongs.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb35dc29c819080203be5b904dc9d |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:33 p.m.