Triple

T18347367
Position Surface form Disambiguated ID Type / Status
Subject Percoto E439575 entity
Predicate hasPostalCountry P846 FINISHED
Object IT NE NERFINISHED

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: [Percoto, hasPostalCountry, IT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IT
Context triple: [Percoto, hasPostalCountry, 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 (2 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f594f88190a683e6224e091593 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.