Triple
T7531565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sochi Autodrom |
E178034
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object | Hermann Tilke |
E188554
|
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: Hermann Tilke | Statement: [Sochi Autodrom, designedBy, Hermann Tilke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hermann Tilke Context triple: [Sochi Autodrom, designedBy, Hermann Tilke]
-
A.
Hermann Tilke
chosen
Hermann Tilke is a German engineer and circuit designer best known for creating many modern Formula One racetracks around the world.
-
B.
Uwe Schlaich
Uwe Schlaich is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
-
C.
Andreas Schlüter
Andreas Schlüter was a prominent German Baroque sculptor and architect best known for his influential work in Prussia at the turn of the 18th century.
-
D.
Andreas Schlüter
Andreas Schlüter is a German local politician who serves as the mayor of the municipality of Gerswalde in Brandenburg.
-
E.
Frank Kracht
Frank Kracht is a German local politician who serves as the mayor of the Baltic Sea town of Sassnitz.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8217b1c8190b3db453cee0fc4fd |
completed | March 27, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f03485c8190829beb95a8be0236 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:47 p.m.