Triple
T1666070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai International Circuit |
E36014
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object |
Hermann Tilke
Hermann Tilke is a German engineer and circuit designer best known for creating many modern Formula One racetracks around the world.
|
E188554
|
NE FINISHED |
How this triple was built (4 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: [Shanghai International Circuit, designedBy, Hermann Tilke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hermann Tilke Context triple: [Shanghai International Circuit, designedBy, Hermann Tilke]
-
A.
Andreas Schlüter
Andreas Schlüter is a German local politician who serves as the mayor of the municipality of Gerswalde in Brandenburg.
-
B.
Tom Nissalke
Tom Nissalke was an American professional basketball coach best known for his work in the ABA and NBA during the 1970s and 1980s.
-
C.
Klaus Badelt
Klaus Badelt is a German film composer best known for his work on major Hollywood scores such as "Pirates of the Caribbean: The Curse of the Black Pearl."
-
D.
Lutz Zülicke
Lutz Zülicke is a German physicist and academic best known for supervising Angela Merkel’s doctoral research in quantum chemistry.
-
E.
Manfred Morari
Manfred Morari is a prominent control systems engineer known for his pioneering work in model predictive control and contributions to robust and constrained control theory.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hermann Tilke Triple: [Shanghai International Circuit, designedBy, Hermann Tilke]
Generated description
Hermann Tilke is a German engineer and circuit designer best known for creating many modern Formula One racetracks around the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hermann Tilke Target entity description: Hermann Tilke is a German engineer and circuit designer best known for creating many modern Formula One racetracks around the world.
-
A.
Andreas Schlüter
Andreas Schlüter is a German local politician who serves as the mayor of the municipality of Gerswalde in Brandenburg.
-
B.
Tom Nissalke
Tom Nissalke was an American professional basketball coach best known for his work in the ABA and NBA during the 1970s and 1980s.
-
C.
Klaus Badelt
Klaus Badelt is a German film composer best known for his work on major Hollywood scores such as "Pirates of the Caribbean: The Curse of the Black Pearl."
-
D.
Lutz Zülicke
Lutz Zülicke is a German physicist and academic best known for supervising Angela Merkel’s doctoral research in quantum chemistry.
-
E.
Manfred Morari
Manfred Morari is a prominent control systems engineer known for his pioneering work in model predictive control and contributions to robust and constrained control theory.
- F. None of above. chosen
Provenance (5 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90adacf0481909fc2213567a4a8af |
completed | March 5, 2026, 4:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad682fd42881908ecd0f331e81aba8 |
completed | March 8, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69ad69c8af5481909d73d90e1dcaf560 |
completed | March 8, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad6a4aebb88190a27350216add031b |
completed | March 8, 2026, 12:23 p.m. |
Created at: March 4, 2026, 7:29 p.m.