Triple
T33426806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Oropa |
E856005
|
entity |
| Predicate | CrowningOfMadonnaFrequency |
P119784
|
FINISHED |
| Object | approximately every 100 years |
—
|
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: approximately every 100 years | Statement: [Sanctuary of Oropa, CrowningOfMadonnaFrequency, approximately every 100 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CrowningOfMadonnaFrequency Context triple: [Sanctuary of Oropa, CrowningOfMadonnaFrequency, approximately every 100 years]
-
A.
tempoRelativeToOtherMadonnaVideos
Indicates how the tempo of one Madonna video compares to the tempos of other Madonna videos.
-
B.
weeksAtWorldNo1
Indicates the number of weeks an entity has held the world number one ranking in its field.
-
C.
frequencyInHistory
chosen
Indicates how often a particular event, state, or relationship has occurred over time within a given historical context.
-
D.
numberOfTop10SinglesUS
Indicates the number of singles by an entity that have reached the top 10 positions on music charts in the United States.
-
E.
numberOfWeeksAtNumberOne
Indicates the duration, measured in weeks, that something remained in the number-one position.
- 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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e47f37848190aadb137c81760f1f |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.