Triple

T8873434
Position Surface form Disambiguated ID Type / Status
Subject Michigan E211211 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object MICH
MICH is the standard vehicle registration code used on license plates to identify motor vehicles registered in the U.S. state of Michigan.
E763164 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: MICH | Statement: [Michigan, vehicleRegistrationCode, MICH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MICH
Context triple: [Michigan, vehicleRegistrationCode, MICH]
  • A. MIH
    MIH is the National Rail station code for Mills Hill railway station in Greater Manchester, England.
  • B. MIH
    MIH is a networking standard framework that enables seamless handover and mobility support across heterogeneous wireless and wired access technologies.
  • C. MIK
    MIK is the stock ticker symbol for The Michaels Companies, a major North American retailer specializing in arts, crafts, framing, and home décor products.
  • D. MiC
    MiC is the official abbreviation for Italy’s Ministry of Culture, the government body responsible for cultural heritage, arts, and related policies.
  • E. MIC
    MIC is an FTP security command introduced by RFC 2228 that provides message integrity checking for protected file transfer sessions.
  • 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: MICH
Triple: [Michigan, vehicleRegistrationCode, MICH]
Generated description
MICH is the standard vehicle registration code used on license plates to identify motor vehicles registered in the U.S. state of Michigan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MICH
Target entity description: MICH is the standard vehicle registration code used on license plates to identify motor vehicles registered in the U.S. state of Michigan.
  • A. MIH
    MIH is the National Rail station code for Mills Hill railway station in Greater Manchester, England.
  • B. MIH
    MIH is a networking standard framework that enables seamless handover and mobility support across heterogeneous wireless and wired access technologies.
  • C. MIK
    MIK is the stock ticker symbol for The Michaels Companies, a major North American retailer specializing in arts, crafts, framing, and home décor products.
  • D. MiC
    MiC is the official abbreviation for Italy’s Ministry of Culture, the government body responsible for cultural heritage, arts, and related policies.
  • E. MIC
    MIC is the commonly used abbreviation for the Mining Industry Committee, a body involved in representing and coordinating interests within the mining sector.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc612952348190856d6964122c3f01 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0f9714c8190909587eecbb10e1a completed April 3, 2026, 11:14 a.m.
NEDg Description generation batch_69cfa180c9048190b59e6b8437886ac9 completed April 3, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69cfa26ab1b881909e42a435f4e3333c completed April 3, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:52 p.m.