Triple
T6993980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dortmund |
E162155
|
entity |
| Predicate | footballClubFoundedIn |
P56314
|
FINISHED |
| Object | Borussia Dortmund 1909 |
—
|
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: Borussia Dortmund 1909 | Statement: [Dortmund, footballClubFoundedIn, Borussia Dortmund 1909]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: footballClubFoundedIn Context triple: [Dortmund, footballClubFoundedIn, Borussia Dortmund 1909]
-
A.
sportTeamFounded
chosen
Indicates the event or point in time when a sports team was established or created.
-
B.
associatedClubFounded
Indicates that there exists a club associated with an entity and specifies the date or time at which that associated club was founded.
-
C.
foundedAsClubInYear
Indicates that an organization was originally established as a club in the specified year.
-
D.
dateFoundedLeague
Indicates the date on which a league was officially founded or established.
-
E.
teamFoundedLegacy
Indicates that a team was established as a continuation, successor, or legacy of a prior organization or team.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbeaa88c8190a49f8504c1793e1f |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:32 p.m.