Triple

T20453842
Position Surface form Disambiguated ID Type / Status
Subject German Fiscal Code E501723 entity
Predicate shortName P43 FINISHED
Object AO
AO is the commonly used abbreviation for the German Fiscal Code, the central legal framework governing taxation procedures in Germany.
E1431291 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: AO | Statement: [German Fiscal Code, shortName, AO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AO
Context triple: [German Fiscal Code, shortName, AO]
  • A. AO
    AO is the two-letter ISO 3166-1 alpha-2 country code representing Angola in international standards and systems.
  • B. AO
    AO is the vehicle registration code used on license plates for vehicles registered in Italy’s Aosta Valley region.
  • C. AO
    AO is a UK-based online electricals retailer known for selling appliances and consumer electronics through its e-commerce platform and associated services.
  • D. AO
    AO was the foreign organization branch of the Nazi Party (NSDAP), responsible for coordinating and overseeing party activities among Germans living abroad.
  • E. AO
    AO is the regional vehicle registration code used on license plates for vehicles registered in the Khust area of Ukraine.
  • 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: AO
Triple: [German Fiscal Code, shortName, AO]
Generated description
AO is the commonly used abbreviation for the German Fiscal Code, the central legal framework governing taxation procedures in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AO
Target entity description: AO is the commonly used abbreviation for the German Fiscal Code, the central legal framework governing taxation procedures in Germany.
  • A. AO
    AO is the commonly used abbreviation for the Administrative Office of the United States Courts, the federal agency that provides administrative support to the U.S. federal judiciary.
  • B. AO
    AO is the vehicle registration code used on license plates for vehicles registered in Italy’s Aosta Valley region.
  • C. AO
    AO is the post-nominal abbreviation used to denote an individual appointed as an Officer of the Order of Australia, one of the nation’s highest civilian honours.
  • D. AO
    AO is the two-letter ISO 3166-1 alpha-2 country code representing Angola in international standards and systems.
  • E. AO
    AO was the foreign organization branch of the Nazi Party (NSDAP), responsible for coordinating and overseeing party activities among Germans living abroad.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68d04ca4081909b428c31d16fca10 completed April 20, 2026, 8:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08840caccc819082423d0dae166082 completed May 16, 2026, 2:49 p.m.
NEDg Description generation batch_6a08854ba1bc8190854e106993681272 completed May 16, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0886140858819088f0b09a9903dada completed May 16, 2026, 2:58 p.m.
Created at: April 16, 2026, 11:32 a.m.