Triple

T12769262
Position Surface form Disambiguated ID Type / Status
Subject Yas Marina Circuit E305202 entity
Predicate designer 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: [Yas Marina Circuit, designer, Hermann Tilke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermann Tilke
Context triple: [Yas Marina Circuit, designer, 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. Martin Ruhe
    Martin Ruhe is a German cinematographer known for his work on feature films such as "Run All Night," "Control," and "The American."
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df3b2f88190b37b696400178795 completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f9ba848190b680d730b6a3b972 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:28 p.m.