Triple

T5029955
Position Surface form Disambiguated ID Type / Status
Subject Pitești E113270 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object AG
AG is the vehicle registration code used on license plates for cars registered in Argeș County, Romania.
E488024 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: AG | Statement: [Pitești, vehicleRegistrationCode, AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AG
Context triple: [Pitești, vehicleRegistrationCode, AG]
  • A. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • B. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • C. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • D. GU
    GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
  • E. AGGH
    AGGH is the ICAO airport code for Honiara International Airport, the main international gateway to the Solomon Islands.
  • 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: AG
Triple: [Pitești, vehicleRegistrationCode, AG]
Generated description
AG is the vehicle registration code used on license plates for cars registered in Argeș County, Romania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AG
Target entity description: AG is the vehicle registration code used on license plates for cars registered in Argeș County, Romania.
  • A. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • B. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • C. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • D. GU
    GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
  • E. AGGH
    AGGH is the ICAO airport code for Honiara International Airport, the main international gateway to the Solomon Islands.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd739099a0819099c6201d4e1c5ee2 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c6859a88190bbf5688812f2eb91 completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9e13855081908c3adc9c5c9f3b2d completed March 21, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69be9e83b6e48190b56eb02fce41bbf0 completed March 21, 2026, 1:34 p.m.
Created at: March 20, 2026, 1:36 p.m.