Triple
T31806641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vexations |
E811889
|
entity |
| Predicate | numberOfRepetitionsSuggested |
P25594
|
FINISHED |
| Object | 840 |
—
|
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: 840 | Statement: [Vexations, numberOfRepetitionsSuggested, 840]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRepetitionsSuggested Context triple: [Vexations, numberOfRepetitionsSuggested, 840]
-
A.
numberOfLiftsInSeries
Indicates the total count of lifts that are included within a particular series.
-
B.
repetitionOf
Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
-
C.
repetitionCount
chosen
Indicates the number of times a particular event, action, or pattern is repeated within a given context.
-
D.
recommendedUsageFrequency
Indicates how often something is advised or prescribed to be used within a given time period.
-
E.
numberOfRecommendations
Indicates the quantity of recommendations associated with or given to a particular entity or item.
- 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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a01416f8a8c8190abc12f68bd23dcc3 |
completed | May 11, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_6a013f3bc2e48190a51ec2707bbdd474 |
completed | May 11, 2026, 2:30 a.m. |
Created at: April 30, 2026, 11:43 p.m.