Triple

T16962497
Position Surface form Disambiguated ID Type / Status
Subject Indiana Bureau of Motor Vehicles E411462 entity
Predicate hasAbbreviation P43 FINISHED
Object BMV
BMV is the common abbreviation for the Indiana Bureau of Motor Vehicles, the state agency responsible for driver licensing, vehicle registration, and related motor vehicle services in Indiana.
E1243746 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: BMV | Statement: [Indiana Bureau of Motor Vehicles, hasAbbreviation, BMV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMV
Context triple: [Indiana Bureau of Motor Vehicles, hasAbbreviation, BMV]
  • A. BMV
    BMV is the main stock exchange in Mexico, serving as the country’s central marketplace for trading equities and other financial instruments.
  • B. BMV
    BMV is the National Rail station code for Bromsgrove railway station in Worcestershire, England.
  • C. BMVg
    BMVg is the commonly used abbreviation for Germany’s Federal Ministry of Defence, the government department responsible for the country’s military and defense policy.
  • D. BMVI
    BMVI is the abbreviation for Germany’s former Federal Ministry responsible for transport policy and digital infrastructure development.
  • E. BMVI
    BMVI is an EU funding instrument focused on strengthening border management and visa policy implementation across member states.
  • 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: BMV
Triple: [Indiana Bureau of Motor Vehicles, hasAbbreviation, BMV]
Generated description
BMV is the common abbreviation for the Indiana Bureau of Motor Vehicles, the state agency responsible for driver licensing, vehicle registration, and related motor vehicle services in Indiana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BMV
Target entity description: BMV is the common abbreviation for the Indiana Bureau of Motor Vehicles, the state agency responsible for driver licensing, vehicle registration, and related motor vehicle services in Indiana.
  • A. BMV
    BMV is the main stock exchange in Mexico, serving as the country’s central marketplace for trading equities and other financial instruments.
  • B. BMV
    BMV is the National Rail station code for Bromsgrove railway station in Worcestershire, England.
  • C. BMVg
    BMVg is the commonly used abbreviation for Germany’s Federal Ministry of Defence, the government department responsible for the country’s military and defense policy.
  • D. BMVI
    BMVI is the abbreviation for Germany’s former Federal Ministry responsible for transport policy and digital infrastructure development.
  • E. BMVI
    BMVI is an EU funding instrument focused on strengthening border management and visa policy implementation across member states.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d021c5508190b6e3106554c07a9c completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46ad58c8190be9f0b36daba8162 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d5f5f0448190be407979539fcd80 completed May 10, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_6a00d6e1add481908cce9048e3746e7c completed May 10, 2026, 7:05 p.m.
Created at: April 10, 2026, 5:31 a.m.