Triple

T6617385
Position Surface form Disambiguated ID Type / Status
Subject Ciampino E149586 entity
Predicate countryCode P208 FINISHED
Object IT E367366 NE FINISHED

How this triple was built (2 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 | Statement: [Ciampino, countryCode, IT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IT
Context triple: [Ciampino, countryCode, IT]
  • A. IT chosen
    IT is the ISO 3166-1 alpha-2 country code for Italy, a Southern European nation known for its rich history, art, and cultural heritage.
  • B. ICT
    ICT is the commonly used abbreviation and nickname for Inverness Caledonian Thistle Football Club, a professional football team based in Inverness, Scotland.
  • C. ICT
    ICT is the vehicle registration code used for motor vehicles registered in Islamabad, the capital city of Pakistan.
  • D. ICT
    ICT was a major British computer manufacturer formed in the late 1950s that played a key role in the early development and commercialization of computing in the United Kingdom.
  • E. ITS
    ITS is the research and engineering arm of the U.S. National Telecommunications and Information Administration, specializing in telecommunications and spectrum-related studies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af59a344819089ec755296f04381 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbde37288190b1e65589aa09b676 completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:58 p.m.