Triple
T8078471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermann Tilke |
E188554
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Tilke | Statement: [Hermann Tilke, familyName, Tilke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tilke Context triple: [Hermann Tilke, familyName, 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.
Mennekes
Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
-
C.
Maufe
Maufe is a surname most notably associated with Sir Edward Maufe, a 20th-century British architect known for designing Guildford Cathedral and several prominent war memorials.
-
D.
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.
-
E.
Andreas Schlüter
Andreas Schlüter is a German local politician who serves as the mayor of the municipality of Gerswalde in Brandenburg.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a2b64c8190ae2b3414b4f840e4 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63f3f6848190a719b8a9605218ee |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:28 p.m.