Triple
T3768783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCI World Ranking |
E82744
|
entity |
| Predicate | rankingUpdateFrequency |
P51026
|
FINISHED |
| Object | periodic during the season |
—
|
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: periodic during the season | Statement: [UCI World Ranking, rankingUpdateFrequency, periodic during the season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingUpdateFrequency Context triple: [UCI World Ranking, rankingUpdateFrequency, periodic during the season]
-
A.
selectionRankingFrequency
Indicates how often an entity is chosen or ranked in a particular position within a selection or ordering process.
-
B.
maintainsRanking
Indicates that one entity preserves or keeps another entity’s position or level within a ranking or ordered list.
-
C.
laterFrequency
Indicates that one event, state, or action occurs with a lower frequency than another in a temporal sequence.
-
D.
rankingImpact
Indicates how an entity’s position or level in a ranking is affected or influenced by another factor or action.
-
E.
awardedFrequency
Indicates how often an award or recognition is given within a specified time period.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc2d4b848190bf63fb3ed5d3b2d9 |
completed | March 8, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69adc04ec36c8190bd5b944d4f4d32aa |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc133ef50819094c2b971f31f1615 |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 8, 2026, 3:35 p.m.