Triple
T22270426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican Grand Prix |
E550459
|
entity |
| Predicate | circuitDesigner |
P30561
|
FINISHED |
| Object | Hermann Tilke |
—
|
NE NERFINISHED |
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: [Mexican Grand Prix, circuitDesigner, Hermann Tilke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hermann Tilke Context triple: [Mexican Grand Prix, circuitDesigner, 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.
Stefan Behnisch
Stefan Behnisch is a German architect known for his sustainable and human-centered designs and as the principal of the firm Behnisch Architekten.
-
C.
Uwe Schlaich
Uwe Schlaich is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
-
D.
Martin Ruhe
Martin Ruhe is a German cinematographer known for his work on feature films such as "Run All Night," "Control," and "The American."
-
E.
Dirk Elkemann
Dirk Elkemann is a German local politician who serves as the mayor of the town of Wiesloch in Baden-Württemberg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bf53a481909e2c79de4144f332 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:40 p.m.