Triple
T13801306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EV Zug |
E331645
|
entity |
| Predicate | rival |
P437
|
FINISHED |
| Object | SC Bern |
E478404
|
NE 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: SC Bern | Statement: [EV Zug, rival, SC Bern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SC Bern Context triple: [EV Zug, rival, SC Bern]
-
A.
SC Bern
chosen
SC Bern is a professional ice hockey club from Bern, Switzerland, known as one of the country’s most successful and popular teams.
-
B.
FC St. Gallen
FC St. Gallen is a Swiss professional football club based in St. Gallen and one of the oldest football clubs in continental Europe.
-
C.
SC Rapperswil-Jona
SC Rapperswil-Jona is a Swiss professional ice hockey club based in Rapperswil-Jona that competes in the country’s top leagues.
-
D.
Stade de Suisse
Stade de Suisse is a modern football stadium in Bern, Switzerland, best known as the home ground of Swiss club BSC Young Boys.
-
E.
Excelsior Zürich
Excelsior Zürich was a Swiss football club based in Zürich, notable as one of the early teams in the career of FC Barcelona founder Joan Gamper.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ded6c8190851c108ae559a355 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0e5251c81909f3f40dcdea1772f |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:11 p.m.