Triple

T23204762
Position Surface form Disambiguated ID Type / Status
Subject Scandiano E580419 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: [Scandiano, countryCode, IT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IT
Context triple: [Scandiano, 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. IT
    IT is the disembodied, all-controlling brain on the planet Camazotz in *A Wrinkle in Time*, embodying oppressive conformity and mind control.
  • C. ICT
    ICT is the commonly used abbreviation and nickname for Inverness Caledonian Thistle Football Club, a professional football team based in Inverness, Scotland.
  • D. ICT
    ICT is the vehicle registration code used for motor vehicles registered in Islamabad, the capital city of Pakistan.
  • E. ICT
    ICT (Information and Communication Technology) is a broad field that focuses on the development, management, and use of digital technologies and communication systems to process, transmit, and store information.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907c1d7c8190aca252a39ae0da86 completed April 29, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30c2ac508190ab718e22afde7a73 completed May 19, 2026, 9:43 a.m.
Created at: April 17, 2026, 4:07 p.m.