Triple
T12305859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crown Chamber with the Bohemian Crown Jewels |
E293349
|
entity |
| Predicate | displayFrequency |
P104354
|
FINISHED |
| Object | rare occasions |
—
|
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: rare occasions | Statement: [Crown Chamber with the Bohemian Crown Jewels, displayFrequency, rare occasions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displayFrequency Context triple: [Crown Chamber with the Bohemian Crown Jewels, displayFrequency, rare occasions]
-
A.
displayRefreshRate
Indicates the frequency at which a display updates its visual content, typically measured in hertz (Hz).
-
B.
displayResolution
Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
-
C.
displayMode
Indicates how content or information is visually presented or arranged to the user.
-
D.
clockShowFrequency
Indicates how often a clock or time display is shown or updated within a given context.
-
E.
displayCount
Indicates the number of times something is shown or presented, typically within a given context or interface.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.