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.