Triple
T5358361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ST Arena |
E102757
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | ST Aréna |
E420710
|
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: ST Aréna | Statement: [ST Arena, hasAlternativeName, ST Aréna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ST Aréna Context triple: [ST Arena, hasAlternativeName, ST Aréna]
-
A.
Steel Aréna
chosen
Steel Aréna is a modern multi-purpose indoor arena in Košice, Slovakia, best known as the home venue of the ice hockey club HC Košice and for hosting major sporting and cultural events.
-
B.
Voith-Arena
Voith-Arena is a football stadium in Heidenheim, Germany, primarily known as the venue for 1. FC Heidenheim’s home matches.
-
C.
Imtech Arena
Imtech Arena is a football stadium in Hamburg, Germany, best known as the longtime home ground of Hamburger SV and for hosting major Bundesliga and international matches.
-
D.
Kaposvár Arena
Kaposvár Arena is a modern indoor sports and events venue located in the city of Kaposvár, Hungary.
-
E.
Danube Arena
Danube Arena is a modern indoor swimming and diving complex in Budapest, Hungary, known for hosting major international aquatic competitions.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd8631ca2c8190856258bf340f6e5d |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21e6762481909278935a4eeee177 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:02 p.m.