Triple

T14101068
Position Surface form Disambiguated ID Type / Status
Subject Pontinia E339380 entity
Predicate hasCountryCode P189 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: [Pontinia, hasCountryCode, IT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IT
Context triple: [Pontinia, hasCountryCode, 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbbf0b08190ba1ea3657d6db005 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b108908190b4b408f21ecb877a completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.