Triple
T21391988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luigi Ganna |
E527676
|
entity |
| Predicate | yearOfAchievement |
P144041
|
FINISHED |
| Object | 1909 Giro d'Italia overall victory |
—
|
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: 1909 Giro d'Italia overall victory | Statement: [Luigi Ganna, yearOfAchievement, 1909 Giro d'Italia overall victory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfAchievement Context triple: [Luigi Ganna, yearOfAchievement, 1909 Giro d'Italia overall victory]
-
A.
awardReceivedYear
Indicates the specific year in which an entity received a particular award.
-
B.
returnedAwardYear
Indicates the year in which an award that had previously been given was returned or relinquished.
-
C.
yearOfAwardCeremony
Indicates the specific year in which an award ceremony took place.
-
D.
workAwardYear
Indicates the year in which a particular work received a specific award.
-
E.
yearOfFinalAward
Indicates the specific calendar year in which the final instance of an award was given or conferred.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cbfef08190a33ac1f198c82cd0 |
completed | April 26, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e61b3e47f881908fb2aac9bd2bfb58 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 16, 2026, 5:13 p.m.