Triple

T12813587
Position Surface form Disambiguated ID Type / Status
Subject Hohe Acht E306332 entity
Predicate viewOver P17987 FINISHED
Object Nürburgring area E890333 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: Nürburgring area | Statement: [Hohe Acht, viewOver, Nürburgring area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nürburgring area
Context triple: [Hohe Acht, viewOver, Nürburgring area]
  • A. Nürburgring chosen
    The Nürburgring is a legendary German motorsport complex and race track, famed for its challenging Nordschleife circuit and long association with both professional racing and automotive testing.
  • B. Norisring street circuit
    The Norisring street circuit is a temporary motorsport race track in Nuremberg, Germany, best known for hosting high-profile touring car events like the DTM on public roads each summer.
  • C. Berliner Ring
    Berliner Ring is the colloquial name for the A10 motorway, a major orbital highway encircling the city of Berlin in Germany.
  • D. Autobahnkreuz Leverkusen
    Autobahnkreuz Leverkusen is a major German motorway interchange near the city of Leverkusen that connects key Autobahn routes in North Rhine-Westphalia.
  • E. Munich city green belt
    The Munich city green belt is an extensive network of parks, forests, and open spaces encircling Munich that provides recreation, nature conservation, and landscape protection for the city and its residents.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9adcf08190a12801adcc613477 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ecc83b88190a6f1ab0bb1ebaf76 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.