Triple

T8007283
Position Surface form Disambiguated ID Type / Status
Subject Province of Varese E186392 entity
Predicate ISO3166-2Code P208 FINISHED
Object IT-VA
IT-VA is the ISO 3166-2 subdivision code assigned to the Province of Varese in the Lombardy region of northern Italy.
 E701767 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: IT-VA | Statement: [Province of Varese, ISO3166-2Code, IT-VA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IT-VA
Context triple: [Province of Varese, ISO3166-2Code, IT-VA]
  • A. IT-PI
    IT-PI is the ISO 3166-2 code that uniquely identifies the Province of Pisa within Italy.
  • B. IT-LT
    IT-LT is the ISO 3166-2 subdivision code assigned to the Province of Latina in Italy.
  • C. Nifty IT
    Nifty IT is a sectoral stock market index in India that tracks the performance of leading information technology companies listed on the National Stock Exchange.
  • D. NIIT
    NIIT is an Indian multinational skills and talent development company best known for its IT and education training services.
  • E. VAST
    VAST (Video Ad Serving Template) is an industry-standard XML-based specification that defines how video ads are served and tracked across different video players and ad servers.
  • 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: IT-VA
Triple: [Province of Varese, ISO3166-2Code, IT-VA]
Generated description
IT-VA is the ISO 3166-2 subdivision code assigned to the Province of Varese in the Lombardy region of northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IT-VA
Target entity description: IT-VA is the ISO 3166-2 subdivision code assigned to the Province of Varese in the Lombardy region of northern Italy.
  • A. IT-PI
    IT-PI is the ISO 3166-2 code that uniquely identifies the Province of Pisa within Italy.
  • B. IT-LT
    IT-LT is the ISO 3166-2 subdivision code assigned to the Province of Latina in Italy.
  • C. Nifty IT
    Nifty IT is a sectoral stock market index in India that tracks the performance of leading information technology companies listed on the National Stock Exchange.
  • D. NIIT
    NIIT is an Indian multinational skills and talent development company best known for its IT and education training services.
  • E. VAST
    VAST (Video Ad Serving Template) is an industry-standard XML-based specification that defines how video ads are served and tracked across different video players and ad servers.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf8a6048190970685a83fd2f59d completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe12c068c8190a6ea7e924a7748c6 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe442999881909544802bb9a91cd5 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc09c676148190964d4947310ec16a completed March 31, 2026, 5:52 p.m.
Created at: March 30, 2026, 5:18 p.m.