Triple
T7426425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RB Leipzig |
E171378
|
entity |
| Predicate | firstBundesligaSeason |
P76920
|
FINISHED |
| Object | 2016–17 |
—
|
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: 2016–17 | Statement: [RB Leipzig, firstBundesligaSeason, 2016–17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBundesligaSeason Context triple: [RB Leipzig, firstBundesligaSeason, 2016–17]
-
A.
firstPremierLeagueSeason
Indicates the specific Premier League season in which an entity (typically a club or player) first participated.
-
B.
numberOfGermanChampionships
Indicates the count of German championship titles associated with a given entity.
-
C.
foundedAsTopDivision
Indicates that an organization, competition, or league was originally established as the highest (top) division within its hierarchical structure.
-
D.
firstSeasonInPremierLeague
Indicates the season in which an entity (typically a football club) first participated in the Premier League.
-
E.
firstGameLeague
Indicates that a given league is the first league in which a particular game was played or took 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3055b7881908269ab909c5a85b5 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f03648d08190b862d07fef71210c |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1ee5ab8819091082324f2dc3b8c |
completed | March 27, 2026, 9:09 p.m. |
Created at: March 27, 2026, 3:12 p.m.