Triple
T2569030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Signal Iduna Park |
E57619
|
entity |
| Predicate | cityStadium |
P38711
|
FINISHED |
| Object | largest stadium in Germany by capacity |
—
|
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: largest stadium in Germany by capacity | Statement: [Signal Iduna Park, cityStadium, largest stadium in Germany by capacity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityStadium Context triple: [Signal Iduna Park, cityStadium, largest stadium in Germany by capacity]
-
A.
stadiumCity
Indicates that a stadium is located in or associated with a particular city.
-
B.
cityOfStadium
chosen
Indicates that a stadium is located in, or primarily associated with, a particular city.
-
C.
stadium
Indicates that an entity is a sports or event venue where games, competitions, or large gatherings take place.
-
D.
stadiumFeature
Indicates that a stadium possesses or includes a particular feature, characteristic, or facility.
-
E.
homeStadiumOf
Indicates that a particular stadium serves as the primary home venue for a specific sports team or organization.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd380d6e081909c124e8a0b7feef3 |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0cc8d308190ae7aa32b8f5ae2e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.