Triple
T14962112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Hills Tournament |
E373087
|
entity |
| Predicate | finalEventLocation |
P12513
|
FINISHED |
| Object | Bischofshofen |
E1134555
|
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: Bischofshofen | Statement: [Four Hills Tournament, finalEventLocation, Bischofshofen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bischofshofen Context triple: [Four Hills Tournament, finalEventLocation, Bischofshofen]
-
A.
Bischofshofen
chosen
Bischofshofen is an Austrian town in the state of Salzburg best known for hosting one of the annual ski jumping competitions in the prestigious Four Hills Tournament.
-
B.
Reischach
Reischach is a municipality in Bavaria, Germany, situated within the district of Altötting.
-
C.
Obernzell
Obernzell is a Bavarian municipality on the Danube River near the city of Passau, known for its historic ceramics industry and scenic riverside setting.
-
D.
Kößlarn
Kößlarn is a small Bavarian municipality in southeastern Germany known for its rural character and location near the Austrian border.
-
E.
Obertraun
Obertraun is a small Austrian village in the Salzkammergut region, known for its alpine scenery and proximity to the Dachstein mountains and Hallstatt.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cece6881908cd8c8fe41583bee |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae0652dc8190a90a1c3b07a6ed94 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 2:40 a.m.