Triple

T13762742
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan City of Venice E330653 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object VE
VE is the Italian vehicle registration code assigned to the Metropolitan City of Venice.
 E1059338 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: VE | Statement: [Metropolitan City of Venice, vehicleRegistrationCode, VE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VE
Context triple: [Metropolitan City of Venice, vehicleRegistrationCode, VE]
  • A. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • B. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • C. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • D. VES
    VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
  • E. Ev
    Ev is a short, informal diminutive of the given name Evan, often used as a casual nickname.
  • 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: VE
Triple: [Metropolitan City of Venice, vehicleRegistrationCode, VE]
Generated description
VE is the Italian vehicle registration code assigned to the Metropolitan City of Venice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VE
Target entity description: VE is the Italian vehicle registration code assigned to the Metropolitan City of Venice.
  • A. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • B. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • C. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • D. VES
    VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
  • E. Ev
    Ev is a short, informal diminutive of the given name Evan, often used as a casual nickname.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02250f4881908d5193b3d5d25844 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a862e6808190b8fbb27304212058 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7aa2a6370819097206cc0967fe5c5 completed May 3, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_69f7aaa0e90c8190877490a2b941cb6b completed May 3, 2026, 8:05 p.m.
Created at: April 9, 2026, 10:10 p.m.