Triple

T18969010
Position Surface form Disambiguated ID Type / Status
Subject AVUS section of A115 E464115 entity
Predicate hasAbbreviation P43 FINISHED
Object AVUS
AVUS is a historic German motor racing circuit and former public road in Berlin, renowned as one of the world’s earliest purpose-built race tracks.
 E1352017 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: AVUS | Statement: [AVUS section of A115, hasAbbreviation, AVUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AVUS
Context triple: [AVUS section of A115, hasAbbreviation, AVUS]
  • A. AVUM
    AVUM is the liquid-propellant upper stage of the European Vega small-lift launch vehicle, responsible for precise orbital insertion and mission completion.
  • B. Uesen
    Uesen is a district or locality within the town of Achim in Lower Saxony, Germany.
  • C. AUT
    AUT is a major New Zealand university based in Auckland, known for its focus on applied research, innovation, and industry-aligned education.
  • D. AUT
    AUT is a leading Iranian engineering and technology university, widely recognized for its strong research output and rigorous academic programs.
  • E. AVJ
    AVJ is the station code used to identify Peñón Viejo, a Mexico City Metro station on Line A.
  • 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: AVUS
Triple: [AVUS section of A115, hasAbbreviation, AVUS]
Generated description
AVUS is a historic German motor racing circuit and former public road in Berlin, renowned as one of the world’s earliest purpose-built race tracks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AVUS
Target entity description: AVUS is a historic German motor racing circuit and former public road in Berlin, renowned as one of the world’s earliest purpose-built race tracks.
  • A. AVUM
    AVUM is the liquid-propellant upper stage of the European Vega small-lift launch vehicle, responsible for precise orbital insertion and mission completion.
  • B. Uesen
    Uesen is a district or locality within the town of Achim in Lower Saxony, Germany.
  • C. AUT
    AUT is a major New Zealand university based in Auckland, known for its focus on applied research, innovation, and industry-aligned education.
  • D. AUT
    AUT is a leading Iranian engineering and technology university, widely recognized for its strong research output and rigorous academic programs.
  • E. AVJ
    AVJ is the station code used to identify Peñón Viejo, a Mexico City Metro station on Line A.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d618e2ec8190848a41733e6db2f1 completed April 20, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05ad39315c8190a9b63f00835b09aa completed May 14, 2026, 11:08 a.m.
NEDg Description generation batch_6a05ae05487c819090e05fc1f8a6076b completed May 14, 2026, 11:12 a.m.
NED2 Entity disambiguation (via description) batch_6a05ae69bcc081908e4d7dd177533d4e completed May 14, 2026, 11:13 a.m.
Created at: April 10, 2026, noon