Triple
T37923070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Das Wunder von Bern |
E946015
|
entity |
| Predicate | cityOfFinalMatchDepicted |
P25324
|
FINISHED |
| Object | Bern |
—
|
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: Bern | Statement: [Das Wunder von Bern, cityOfFinalMatchDepicted, Bern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfFinalMatchDepicted Context triple: [Das Wunder von Bern, cityOfFinalMatchDepicted, Bern]
-
A.
finalMatchCity
chosen
Indicates the city where the final match of a competition or tournament takes place.
-
B.
venueOfFinalMatch
Indicates the location where the final match of a competition or tournament is held.
-
C.
firstFinalCity
Indicates that a city is the final destination reached first in some ordered sequence of trips or routes.
-
D.
finalCity
Indicates that a given city is the last or ultimate city associated with an entity within a sequence, process, or journey.
-
E.
cityOfChampion
Indicates that a particular city is recognized as the home or representative city of a given champion or championship-winning entity.
- 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.