Triple
T20556529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Augsburg |
E504733
|
entity |
| Predicate | seasonOfBestBundesligaFinish |
P140546
|
FINISHED |
| Object | 2014-2015 |
—
|
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: 2014-2015 | Statement: [FC Augsburg, seasonOfBestBundesligaFinish, 2014-2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonOfBestBundesligaFinish Context triple: [FC Augsburg, seasonOfBestBundesligaFinish, 2014-2015]
-
A.
wonBundesligaWith
Indicates that one entity achieved victory in the Bundesliga while being associated with (e.g., playing for or coaching) the other entity.
-
B.
firstBundesligaSeason
Indicates the specific season in which an entity (typically a football club) first participated in the Bundesliga.
-
C.
numberOfGermanFootballerOfTheYearAwards
Indicates the number of times an entity has received the German Footballer of the Year award.
-
D.
numberOfGermanChampionships
Indicates the count of German championship titles associated with a given entity.
-
E.
leagueChampionshipSeason
Indicates the relationship between a sports league and a specific season in which its championship competition takes place.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5de9c008190b8620628fb285e90 |
completed | April 20, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:38 a.m.