Triple

T8581489
Position Surface form Disambiguated ID Type / Status
Subject Civitanova Marche E203189 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object MC
MC is the Italian vehicle registration code assigned to the province of Macerata in the Marche region.
 E743449 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: MC | Statement: [Civitanova Marche, vehicleRegistrationCode, MC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MC
Context triple: [Civitanova Marche, vehicleRegistrationCode, MC]
  • A. MC
    MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
  • B. MC
    MC is a hip-hop master of ceremonies responsible for rapping, hosting, and energizing a crowd during performances or events.
  • C. MC
    MC is the commonly used abbreviation for Middlesex College, a public community college located in New Jersey.
  • D. MC
    MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
  • E. Mc
    Mc is a Gaelic patronymic prefix meaning "son of," commonly found in Scottish and Irish surnames.
  • 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: MC
Triple: [Civitanova Marche, vehicleRegistrationCode, MC]
Generated description
MC is the Italian vehicle registration code assigned to the province of Macerata in the Marche region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MC
Target entity description: MC is the Italian vehicle registration code assigned to the province of Macerata in the Marche region.
  • A. MC
    MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
  • B. MC
    MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
  • C. MC
    MC is a hip-hop master of ceremonies responsible for rapping, hosting, and energizing a crowd during performances or events.
  • D. MC
    MC is the commonly used abbreviation for Middlesex College, a public community college located in New Jersey.
  • E. Mc
    Mc is a Gaelic patronymic prefix meaning "son of," commonly found in Scottish and Irish surnames.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbeb1bbbd8819082670286a711826d completed March 31, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89ae87f08190b83bc539e1d4eeaa completed April 2, 2026, 3:22 p.m.
NEDg Description generation batch_69ce8d6ce1788190bab10eb05d3ccd2e completed April 2, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_69ce8e0ea1608190af74d0e49f149454 completed April 2, 2026, 3:41 p.m.
Created at: March 30, 2026, 6:22 p.m.