Triple

T3540946
Position Surface form Disambiguated ID Type / Status
Subject University of Florence E74882 entity
Predicate countryCode P208 FINISHED
Object IT
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.
 E367366 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 | Statement: [University of Florence, countryCode, IT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IT
Context triple: [University of Florence, countryCode, IT]
  • A. ICT
    ICT is the vehicle registration code used for motor vehicles registered in Islamabad, the capital city of Pakistan.
  • B. ITS
    ITS is the research and engineering arm of the U.S. National Telecommunications and Information Administration, specializing in telecommunications and spectrum-related studies.
  • C. ITS
    ITS is a leading Indonesian public technological university located in Surabaya, renowned for its engineering and science programs.
  • D. IT-TS
    IT-TS is the ISO 3166-2 code that uniquely identifies the Province of Trieste in Italy.
  • E. ICTS
    ICTS is a type of automated, medium-capacity urban transit technology used for rapid, driverless passenger transport in cities.
  • 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
Triple: [University of Florence, countryCode, IT]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IT
Target entity description: 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.
  • A. ICT
    ICT is the vehicle registration code used for motor vehicles registered in Islamabad, the capital city of Pakistan.
  • B. ITS
    ITS is the research and engineering arm of the U.S. National Telecommunications and Information Administration, specializing in telecommunications and spectrum-related studies.
  • C. ITS
    ITS is a leading Indonesian public technological university located in Surabaya, renowned for its engineering and science programs.
  • D. IT-TS
    IT-TS is the ISO 3166-2 code that uniquely identifies the Province of Trieste in Italy.
  • E. ICTS
    ICTS is a type of automated, medium-capacity urban transit technology used for rapid, driverless passenger transport in cities.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf729000819086e4fdba9e73e198 completed March 8, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bda9b848190a06b4b7113f97fc1 completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c6dbfcc8190897d0c12e8ce4416 completed March 13, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69b38cf9d8188190adb91671d062a6f9 completed March 13, 2026, 4:05 a.m.
Created at: March 8, 2026, 3:20 p.m.