Triple
T2302270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Youth Day 1985 |
E51758
|
entity |
| Predicate | frequencyOfSeries |
P85
|
FINISHED |
| Object | triennial to quinquennial (for subsequent international World Youth Days) |
—
|
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: triennial to quinquennial (for subsequent international World Youth Days) | Statement: [World Youth Day 1985, frequencyOfSeries, triennial to quinquennial (for subsequent international World Youth Days)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequencyOfSeries Context triple: [World Youth Day 1985, frequencyOfSeries, triennial to quinquennial (for subsequent international World Youth Days)]
-
A.
frequency
chosen
Indicates how often an event, action, or relationship occurs within a given period or context.
-
B.
frequencyDependsOn
Indicates that the frequency of one event, action, or state is determined or influenced by another factor or condition.
-
C.
frequencyComparedTo
Indicates how often one event or action occurs relative to another, expressing a comparison of their frequencies.
-
D.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
-
E.
frequencyChange
Indicates a change in how often an event, action, or state occurs 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcbabf01081908db3b42bc7c60444 |
completed | March 7, 2026, 6:54 a.m. |
| PD | Predicate disambiguation | batch_69abc58ad33c8190b8d68af41b6f5e07 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.