Triple

T16854557
Position Surface form Disambiguated ID Type / Status
Subject Amazon Ads E409750 entity
Predicate supportsMarketplace P2714 FINISHED
Object Amazon.it
Amazon.it is the Italian localized version of Amazon’s global e-commerce platform, offering a wide range of products and services tailored to customers in Italy.
 E1236303 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: Amazon.it | Statement: [Amazon Ads, supportsMarketplace, Amazon.it]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amazon.it
Context triple: [Amazon Ads, supportsMarketplace, Amazon.it]
  • A. ITA
    ITA is the commonly used abbreviation for the Intercollegiate Tennis Association, the governing body for college tennis in the United States.
  • B. ITA
    ITA is a U.S. government agency within the Department of Commerce that promotes American exports, ensures fair trade, and supports U.S. businesses in the global marketplace.
  • C. ITA
    ITA is the FIFA trigramme used to represent Italy in international football competitions.
  • D. ITA
    ITA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies the Italian Republic.
  • E. Iperindo
    Iperindo is a major town in the Ijesha area of Osun State in southwestern Nigeria, known for its local communities and regional significance.
  • 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: Amazon.it
Triple: [Amazon Ads, supportsMarketplace, Amazon.it]
Generated description
Amazon.it is the Italian localized version of Amazon’s global e-commerce platform, offering a wide range of products and services tailored to customers in Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amazon.it
Target entity description: Amazon.it is the Italian localized version of Amazon’s global e-commerce platform, offering a wide range of products and services tailored to customers in Italy.
  • A. ITA
    ITA is the commonly used abbreviation for the Intercollegiate Tennis Association, the governing body for college tennis in the United States.
  • B. ITA
    ITA is a U.S. government agency within the Department of Commerce that promotes American exports, ensures fair trade, and supports U.S. businesses in the global marketplace.
  • C. ITA
    ITA is the FIFA trigramme used to represent Italy in international football competitions.
  • D. ITA
    ITA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies the Italian Republic.
  • E. Iperindo
    Iperindo is a major town in the Ijesha area of Osun State in southwestern Nigeria, known for its local communities and regional significance.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37c6e808190975b14b228253029 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb216fac81909d401c6b9911d1e0 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bb9b2b1881908f9f5c3dd1a2d500 completed May 10, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc3a4b888190bd190b9330e2777d completed May 10, 2026, 5:11 p.m.
Created at: April 10, 2026, 5:24 a.m.