Triple
T11141424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Athletics Championships |
E263562
|
entity |
| Predicate | previousFrequency |
P85
|
FINISHED |
| Object | quadrennial |
—
|
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: quadrennial | Statement: [European Athletics Championships, previousFrequency, quadrennial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousFrequency Context triple: [European Athletics Championships, previousFrequency, quadrennial]
-
A.
laterFrequency
Indicates that one event, state, or action occurs with a lower frequency than another in a temporal sequence.
-
B.
frequency
chosen
Indicates how often an event, action, or relationship occurs within a given period or context.
-
C.
frequencyChange
Indicates a change in how often an event, action, or state occurs over time.
-
D.
frequencyComparedTo
Indicates how often one event or action occurs relative to another, expressing a comparison of their frequencies.
-
E.
replacedFrequency
Indicates how often one entity is substituted for or takes the place of another over a given period.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8623158819096ad1678fa9e72bb |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d75ce104908190b6cc31ef2f67846a |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.