Triple

T8803422
Position Surface form Disambiguated ID Type / Status
Subject Province of Rovigo E209464 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object RO
RO is the vehicle registration code used on license plates for vehicles registered in the Province of Rovigo in Italy.
 E759247 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: RO | Statement: [Province of Rovigo, vehicleRegistrationCode, RO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RO
Context triple: [Province of Rovigo, vehicleRegistrationCode, RO]
  • A. RO
    RO is the IATA airline designator assigned to TAROM, the flag carrier airline of Romania.
  • B. RO
    RO is the stock ticker symbol for Roche, the multinational Swiss healthcare and pharmaceutical company.
  • C. RON
    RON is the official currency code for the Romanian leu used in international finance and currency exchange.
  • D. ROL
    ROL was the former ISO 4217 currency code for the old Romanian leu used before the 2005 currency redenomination in Romania.
  • E. Ros
    Ros is a given name and surname used in various cultures, often as a short form or variant of names like Ross, Rosalind, or Rosemary.
  • 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: RO
Triple: [Province of Rovigo, vehicleRegistrationCode, RO]
Generated description
RO is the vehicle registration code used on license plates for vehicles registered in the Province of Rovigo in Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RO
Target entity description: RO is the vehicle registration code used on license plates for vehicles registered in the Province of Rovigo in Italy.
  • A. RO
    RO is the IATA airline designator assigned to TAROM, the flag carrier airline of Romania.
  • B. RO
    RO is the stock ticker symbol for Roche, the multinational Swiss healthcare and pharmaceutical company.
  • C. RON
    RON is the official currency code for the Romanian leu used in international finance and currency exchange.
  • D. ROL
    ROL was the former ISO 4217 currency code for the old Romanian leu used before the 2005 currency redenomination in Romania.
  • E. Ros
    Ros is a given name and surname used in various cultures, often as a short form or variant of names like Ross, Rosalind, or Rosemary.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fbb5b108190a9f889d40aa20521 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f840d9c8190a88a61104969b0e5 completed April 3, 2026, 7:43 a.m.
NEDg Description generation batch_69cf708dbd54819099efa4b5729d6298 completed April 3, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69cf7163e2088190bf252896cc4036b2 completed April 3, 2026, 7:51 a.m.
Created at: March 30, 2026, 6:44 p.m.