Triple
T20556447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Max |
E504731
|
entity |
| Predicate | numberOfBundesligaAppearances |
P80543
|
FINISHED |
| Object | 379 |
—
|
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: 379 | Statement: [Martin Max, numberOfBundesligaAppearances, 379]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBundesligaAppearances Context triple: [Martin Max, numberOfBundesligaAppearances, 379]
-
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.
leagueAppearances
chosen
Indicates the number of times an entity has participated in official league matches or competitions.
-
C.
clubAppearances
Indicates the number of official matches a player has played for a particular club.
-
D.
numberOfGermanChampionships
Indicates the count of German championship titles associated with a given entity.
-
E.
europeanChampionshipAppearance
Indicates that an entity has participated in at least one edition of a European championship competition.
- 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_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. |
Created at: April 16, 2026, 11:38 a.m.