Triple
T28433409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revierderby |
E715197
|
entity |
| Predicate | homeDerbyFor |
P164723
|
FINISHED |
| Object | Borussia Dortmund |
—
|
NE NERFINISHED |
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 | Statement: [Revierderby, homeDerbyFor, Borussia Dortmund]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeDerbyFor Context triple: [Revierderby, homeDerbyFor, Borussia Dortmund]
-
A.
homeCityDerby
Indicates that two sports teams are based in the same city and their match-up constitutes a local rivalry or derby.
-
B.
homeCityOfDerbyCounty
Indicates that a city is the home base or location of the Derby County football club.
-
C.
homeProvinceDerby
Indicates that an entity’s home or origin is located in the province of Derby.
-
D.
homeGroundOfDerbyCounty
Indicates that a location serves as the home ground (primary home stadium or venue) for the Derby County team.
-
E.
isFromCityWithDerby
Indicates that an entity originates from a city that has a football (or sports) derby with another team from the same city.
- 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_69efd6b253888190b3c7222ed6a403a8 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64ee0c2788190a94a04ad1902fd5e |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 28, 2026, 1:41 a.m.