Triple
T29577890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inzell |
E753493
|
entity |
| Predicate | Max Aicher ArenaUsedFor |
P95893
|
FINISHED |
| Object | international speed skating competitions |
—
|
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: international speed skating competitions | Statement: [Inzell, Max Aicher ArenaUsedFor, international speed skating competitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Max Aicher ArenaUsedFor Context triple: [Inzell, Max Aicher ArenaUsedFor, international speed skating competitions]
-
A.
Max Aicher ArenaInstanceOf
Indicates that the subject is classified as an instance of the entity type “Max Aicher Arena.”
-
B.
stadiumUsedFor
chosen
Indicates that a particular stadium is used for a specific activity, event, or purpose.
-
C.
usedAsOlympicStadiumFor
Indicates that a venue served as the official stadium for hosting events of a particular edition of the Olympic Games.
-
D.
hostedInArenaUsedFor
Indicates that an event or activity is hosted in an arena that is (or was) used for a particular purpose or by a particular organization.
-
E.
mainIndoorArena
Indicates that one entity serves as the primary indoor arena or main covered venue associated with another 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 6:04 p.m.