Triple
T11966464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sportforum Leipzig |
E284800
|
entity |
| Predicate | hasSportsDiscipline |
P15165
|
FINISHED |
| Object | association football |
—
|
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: association football | Statement: [Sportforum Leipzig, hasSportsDiscipline, association football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportsDiscipline Context triple: [Sportforum Leipzig, hasSportsDiscipline, association football]
-
A.
hasOlympicDiscipline
Indicates that an entity (typically a sport) includes or is associated with a specific discipline as recognized in the Olympic Games.
-
B.
includesSport
chosen
Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
-
C.
hasAthletics
Indicates that an entity participates in, is associated with, or offers athletics-related activities or programs.
-
D.
esportDiscipline
Indicates that one entity is a specific esports game or discipline in which the other entity participates or is involved.
-
E.
competedInDiscipline
Indicates that an entity took part in a competition or event within a specific discipline or category.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037adf5881908abe1a4e64a71f20 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:46 p.m.