Triple
T6708909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mannheim |
E153078
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | SAP Arena |
E398229
|
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: SAP Arena | Statement: [Mannheim, hasLandmark, SAP Arena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAP Arena Context triple: [Mannheim, hasLandmark, SAP Arena]
-
A.
SAP Arena
chosen
SAP Arena is a multi-purpose indoor arena in Mannheim, Germany, best known as a major venue for ice hockey, concerts, and other large-scale events.
-
B.
Volkswagen Arena
Volkswagen Arena is a modern football stadium in Wolfsburg, Germany, best known as the home ground of the Bundesliga club VfL Wolfsburg.
-
C.
Commerzbank-Arena
Commerzbank-Arena is a major football and multi-purpose stadium in Frankfurt, Germany, best known as the longtime home ground of Eintracht Frankfurt and a venue for international sporting and entertainment events.
-
D.
Voith-Arena
Voith-Arena is a football stadium in Heidenheim, Germany, primarily known as the venue for 1. FC Heidenheim’s home matches.
-
E.
Lanxess Arena
Lanxess Arena is a large multi-purpose indoor arena in Cologne, Germany, known for hosting major sports events, concerts, and entertainment shows.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d105b49c8190932246a727e2c513 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7008e6b308190a3d5db2bf4a469c4 |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:06 p.m.