Triple

T1682383
Position Surface form Disambiguated ID Type / Status
Subject Hans Asperger E36366 entity
Predicate familyName P18 FINISHED
Object Asperger E5326 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: Asperger | Statement: [Hans Asperger, familyName, Asperger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asperger
Context triple: [Hans Asperger, familyName, Asperger]
  • A. Asperger syndrome chosen
    Asperger syndrome is a neurodevelopmental condition on the autism spectrum characterized by difficulties in social interaction and communication alongside focused interests and often average or above-average intelligence.
  • B. ASD
    ASD is the official railway station code used to identify Amsterdam Centraal station in the Netherlands.
  • C. attention-deficit/hyperactivity disorder
    Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental condition characterized by persistent patterns of inattention, hyperactivity, and impulsivity that interfere with functioning or development.
  • D. ASDZ
    ASDZ is the station code used to identify Amsterdam Zuid railway station in the Netherlands.
  • E. Ant
    Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa627935888190ad793a720bb6cba5 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71bf1998819094d3eb67c6e6bafd completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.