Triple
T27474799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Roten |
E693425
|
entity |
| Predicate | clubHonoursContext |
P43615
|
FINISHED |
| Object | multiple German championships |
—
|
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: multiple German championships | Statement: [Die Roten, clubHonoursContext, multiple German championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubHonoursContext Context triple: [Die Roten, clubHonoursContext, multiple German championships]
-
A.
clubHonour
chosen
Indicates that a club has received or been awarded a particular honour, title, or distinction.
-
B.
teamHonour
Indicates that a team has received or been awarded a particular honour, title, or distinction.
-
C.
teamHonors
Indicates that a team has received a particular honor, award, or title.
-
D.
teamHonourWith
Indicates that a team has been awarded or recognized with a particular honour or distinction.
-
E.
honoursAsPlayer
Indicates that one entity has received awards, recognitions, or honours specifically for their role or achievements as a player.
- 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_69ef5381f2648190a2392d0fab833095 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62e43391481908de5e30f1ae077df |
completed | May 2, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 12:56 p.m.