Triple
T3657722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liège–Bastogne–Liège |
E77572
|
entity |
| Predicate | mostWinsYears |
P50757
|
FINISHED |
| Object | 1969 |
—
|
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: 1969 | Statement: [Liège–Bastogne–Liège, mostWinsYears, 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostWinsYears Context triple: [Liège–Bastogne–Liège, mostWinsYears, 1969]
-
A.
yearOfWin
Indicates the specific calendar year in which an entity achieved a particular victory or win.
-
B.
mostOverallWinsRecord
Indicates that the subject holds the record for having the greatest total number of wins compared to all others in the relevant context.
-
C.
seasonsWithMostWinsInAL
Indicates the seasons in which a team achieved its highest number of wins specifically in the American League.
-
D.
winsInSingleSeason
Indicates that one entity achieves a specified number of wins within a single competitive season.
-
E.
firstWinnerYear
Indicates the year in which an entity first won a particular competition, award, or title.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d36c1c8190920397a75de4c47d |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb84650148190bf79231105e58d7f |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adbae14d488190a6024548979c6faf |
completed | March 8, 2026, 6:07 p.m. |
Created at: March 8, 2026, 3:24 p.m.