Triple
T698617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giro d'Italia |
E13947
|
entity |
| Predicate | timeTrialStages |
P16778
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Giro d'Italia, timeTrialStages, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeTrialStages Context triple: [Giro d'Italia, timeTrialStages, yes]
-
A.
stages
Indicates that one entity organizes, presents, or sets up another entity (such as an event, performance, or situation) to take place or be displayed.
-
B.
worldTimeTrialChampion
Indicates that the subject has won a world championship title in an individual time trial cycling event.
-
C.
numberOfStages
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
-
D.
competitionStage
Indicates the specific phase or round within a broader competition in which the related entities participate or are situated.
-
E.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c99be48190babc37c397b6a186 |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d2586b081908e052cc5ba1d2685 |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49dc20880819085fa60dc1851f9dc |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.