Triple

T14316239
Position Surface form Disambiguated ID Type / Status
Subject Khust E354962 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object AO
AO is the regional vehicle registration code used on license plates for vehicles registered in the Khust area of Ukraine.
E1093235 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: [Khust, vehicleRegistrationCode, AO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AO
Context triple: [Khust, vehicleRegistrationCode, 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 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.
  • C. AO
    AO is the vehicle registration code used on license plates for vehicles registered in Italy’s Aosta Valley region.
  • D. AO
    AO is a UK-based online electricals retailer known for selling appliances and consumer electronics through its e-commerce platform and associated services.
  • E. 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.
  • 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: [Khust, vehicleRegistrationCode, AO]
Generated description
AO is the regional vehicle registration code used on license plates for vehicles registered in the Khust area of Ukraine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AO
Target entity description: AO is the regional vehicle registration code used on license plates for vehicles registered in the Khust area of Ukraine.
  • A. AO
    AO is the vehicle registration code used on license plates for vehicles registered in Italy’s Aosta Valley region.
  • B. 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.
  • C. AO
    AO is the two-letter ISO 3166-1 alpha-2 country code representing Angola in international standards and systems.
  • D. AO
    AO is the common abbreviation for Agent Orange, a highly toxic herbicide and defoliant used by the U.S. military during the Vietnam War that caused widespread environmental damage and severe health effects.
  • E. 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.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8838e45c819080ee69dd39e3bd43 completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd468a3b788190812ff0eed84fd139 completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd473650cc81908fa55e6021161a15 completed May 8, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_69fd4851528c81909855c0f8484c278e completed May 8, 2026, 2:20 a.m.
Created at: April 10, 2026, 1:12 a.m.