Triple
T25307858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Spot |
E634529
|
entity |
| Predicate | drawFrequency |
P104354
|
FINISHED |
| Object | frequent drawings |
—
|
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: frequent drawings | Statement: [Hot Spot, drawFrequency, frequent drawings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drawFrequency Context triple: [Hot Spot, drawFrequency, frequent drawings]
-
A.
graphicsBaseFrequency
Indicates the fundamental frequency values used to control the repetition rate of a graphical pattern or effect.
-
B.
displayFrequency
chosen
Indicates how often something is shown or presented within a given context or time period.
-
C.
frequencyClass
Indicates how often an event, action, or relation occurs, typically by assigning it to a predefined frequency category or class.
-
D.
drawTimes
Indicates that one entity depicts or illustrates another entity a specified number of times.
-
E.
measurementFrequency
Indicates how often a measurement is taken or recorded over time.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 1:25 p.m.