Triple

T17286344
Position Surface form Disambiguated ID Type / Status
Subject Norisring street circuit E419664 entity
Predicate hasCorner P42380 FINISHED
Object Grundig hairpin
Grundig hairpin is a tight, low-speed hairpin turn on the Norisring street circuit in Nuremberg, Germany, known as one of its key overtaking points.
E1260593 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: Grundig hairpin | Statement: [Norisring street circuit, hasCorner, Grundig hairpin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grundig hairpin
Context triple: [Norisring street circuit, hasCorner, Grundig hairpin]
  • A. X-Gerät
    X-Gerät was an advanced World War II German radio navigation and bombing guidance system used by the Luftwaffe for precision night bombing.
  • B. Mann-Grundig
    Mann-Grundig was a professional cycling team active in the 1960s and 1970s, known for competing in major European road races.
  • C. Pfaff
    Pfaff is a German surname borne by various notable individuals across fields such as politics, science, and the arts.
  • D. Braun-Pivet
    Braun-Pivet is the surname of Yaël Braun-Pivet, a prominent French politician who has served as President of the National Assembly.
  • E. Braun
    Braun is a German surname most infamously associated with Eva Braun, the longtime companion and brief wife of Adolf Hitler.
  • 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: Grundig hairpin
Triple: [Norisring street circuit, hasCorner, Grundig hairpin]
Generated description
Grundig hairpin is a tight, low-speed hairpin turn on the Norisring street circuit in Nuremberg, Germany, known as one of its key overtaking points.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grundig hairpin
Target entity description: Grundig hairpin is a tight, low-speed hairpin turn on the Norisring street circuit in Nuremberg, Germany, known as one of its key overtaking points.
  • A. X-Gerät
    X-Gerät was an advanced World War II German radio navigation and bombing guidance system used by the Luftwaffe for precision night bombing.
  • B. Mann-Grundig
    Mann-Grundig was a professional cycling team active in the 1960s and 1970s, known for competing in major European road races.
  • C. Pfaff
    Pfaff is a German surname borne by various notable individuals across fields such as politics, science, and the arts.
  • D. Braun-Pivet
    Braun-Pivet is the surname of Yaël Braun-Pivet, a prominent French politician who has served as President of the National Assembly.
  • E. Braun
    Braun is a German surname most infamously associated with Eva Braun, the longtime companion and brief wife of Adolf Hitler.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4378024988190aac6aec006f8f7a1 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017955448481909c2464a14c2a9799 completed May 11, 2026, 6:38 a.m.
NEDg Description generation batch_6a017a193f6881908f39596cb235111f completed May 11, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_6a017b5045d08190b7c7409960f1438c completed May 11, 2026, 6:46 a.m.
Created at: April 10, 2026, 5:40 a.m.