Triple

T3938117
Position Surface form Disambiguated ID Type / Status
Subject Intercollegiate Tennis Association E90963 entity
Predicate shortName P43 FINISHED
Object ITA
ITA is the commonly used abbreviation for the Intercollegiate Tennis Association, the governing body for college tennis in the United States.
 E399895 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: ITA | Statement: [Intercollegiate Tennis Association, shortName, ITA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ITA
Context triple: [Intercollegiate Tennis Association, shortName, ITA]
  • A. 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.
  • B. Italy
    Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
  • C. Italo
    Italo is a private Italian high-speed train operator known for connecting major cities across Italy with fast, modern rail services.
  • D. Italo
    Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
  • E. Włochy
    Włochy is a district in the southwestern part of Warsaw, Poland, known for its mix of residential areas, industrial zones, and major transport infrastructure including the city’s main airport.
  • 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: ITA
Triple: [Intercollegiate Tennis Association, shortName, ITA]
Generated description
ITA is the commonly used abbreviation for the Intercollegiate Tennis Association, the governing body for college tennis in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ITA
Target entity description: ITA is the commonly used abbreviation for the Intercollegiate Tennis Association, the governing body for college tennis in the United States.
  • A. 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.
  • B. Italy
    Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
  • C. Italo
    Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
  • D. Italo
    Italo is a private Italian high-speed train operator known for connecting major cities across Italy with fast, modern rail services.
  • E. Włochy
    Włochy is a district in the southwestern part of Warsaw, Poland, known for its mix of residential areas, industrial zones, and major transport infrastructure including the city’s main airport.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcfd7d48190bbacee8b5b1b5070 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b528922a548190a8e5339deacaefd9 completed March 14, 2026, 9:21 a.m.
NEDg Description generation batch_69b5298e517c819085c1dcb943a4d8a2 completed March 14, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_69b52a9b96ec8190812d846de6f061b6 completed March 14, 2026, 9:30 a.m.
Created at: March 9, 2026, 3:24 p.m.