Triple
T32960929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European polka |
E843235
|
entity |
| Predicate | typicalStepPattern |
P205212
|
FINISHED |
| Object | quick-quick-slow |
—
|
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: quick-quick-slow | Statement: [European polka, typicalStepPattern, quick-quick-slow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStepPattern Context triple: [European polka, typicalStepPattern, quick-quick-slow]
-
A.
typicalStep
Indicates that an action, event, or sub-process is a standard or commonly occurring step within a larger process or procedure.
-
B.
numberOfStepsPerPattern
Indicates the total count of discrete steps involved in a single instance of the pattern.
-
C.
stepType
Indicates the specific kind or category of step an entity represents within a process or sequence.
-
D.
stepTakes
Indicates that one step directly follows or is taken after another step in a process or sequence.
-
E.
stepping
Indicates that an entity is moving its foot or feet to take a step, often as part of walking or changing position.
- 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037cab06288190b093935f235ddff2 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:21 a.m.