Triple

T3402237
Position Surface form Disambiguated ID Type / Status
Subject Mytilene E71681 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object MY
MY is the vehicle registration code used for cars registered in Mytilene, a city on the Greek island of Lesbos.
 E356085 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: MY | Statement: [Mytilene, vehicleRegistrationCode, MY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MY
Context triple: [Mytilene, vehicleRegistrationCode, MY]
  • A. MI
    MI is the official two-letter United States Postal Service abbreviation for the state of Michigan.
  • B. MYT
    MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
  • C. MJ
    MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
  • D. MJ
    MJ is a reimagined version of the Mary Jane Watson character who appears as Peter Parker’s sharp, observant classmate and love interest in the Marvel Cinematic Universe Spider-Man films.
  • E. mye
    mye is the ISO 639-3 language code for Myene, a Bantu language spoken primarily along the coast of Gabon.
  • 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: MY
Triple: [Mytilene, vehicleRegistrationCode, MY]
Generated description
MY is the vehicle registration code used for cars registered in Mytilene, a city on the Greek island of Lesbos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MY
Target entity description: MY is the vehicle registration code used for cars registered in Mytilene, a city on the Greek island of Lesbos.
  • A. MI
    MI is the official two-letter United States Postal Service abbreviation for the state of Michigan.
  • B. MYT
    MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
  • C. MJ
    MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
  • D. MJ
    MJ is a reimagined version of the Mary Jane Watson character who appears as Peter Parker’s sharp, observant classmate and love interest in the Marvel Cinematic Universe Spider-Man films.
  • E. mye
    mye is the ISO 639-3 language code for Myene, a Bantu language spoken primarily along the coast of Gabon.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8c96d7c8190a1f9d035996f79e3 completed March 8, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bd4d02881909c365e054148ae8c completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e4792608190b74e02e065d4bc68 completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b3525f44948190af72b177193edca4 completed March 12, 2026, 11:55 p.m.
Created at: March 8, 2026, 3:14 p.m.