Triple
T3768433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tour of Qatar |
E82736
|
entity |
| Predicate | timeTrialInSomeEditions |
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: [Tour of Qatar, timeTrialInSomeEditions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeTrialInSomeEditions Context triple: [Tour of Qatar, timeTrialInSomeEditions, yes]
-
A.
timeTrialStages
chosen
Indicates that the related stages of a race are conducted as time trials, where participants compete individually against the clock rather than directly against each other.
-
B.
worldTimeTrialChampion
Indicates that the subject has won a world championship title in an individual time trial cycling event.
-
C.
TourDeFranceWins
Indicates the number of times an entity has won the Tour de France cycling race.
-
D.
stageRaceType
Indicates the specific category or format of a multi-stage race within a broader competition or event.
-
E.
TourDeFranceOverallWins
Indicates the number of times an entity has won the overall general classification of the Tour de France.
- 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_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. |
Created at: March 8, 2026, 3:35 p.m.