Triple

T3746497
Position Surface form Disambiguated ID Type / Status
Subject Borsa Italiana E81222 entity
Predicate hasMarket P2714 FINISHED
Object MTA
MTA is the main regulated equities market segment of Borsa Italiana, where shares of medium and large Italian and international companies are listed and traded.
 E384380 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: MTA | Statement: [Borsa Italiana, hasMarket, MTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MTA
Context triple: [Borsa Italiana, hasMarket, MTA]
  • A. MTA
    MTA is the commonly used abbreviation for the Maryland Transit Administration, the state agency that operates public transportation services in and around Baltimore, Maryland.
  • B. MTA
    MTA is the abbreviated name historically used for Boston’s Metropolitan Transit Authority, the predecessor to today’s MBTA public transit system.
  • C. MTA New York City Subway fare system
    The MTA New York City Subway fare system is the payment and ticketing framework that governs how riders pay to use New York City’s subway network, including methods like MetroCard and OMNY.
  • D. MRT
    MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
  • E. MRT
    MRT is the commonly used abbreviation for the Taipei Metro, the rapid transit system serving Taipei and its surrounding areas.
  • 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: MTA
Triple: [Borsa Italiana, hasMarket, MTA]
Generated description
MTA is the main regulated equities market segment of Borsa Italiana, where shares of medium and large Italian and international companies are listed and traded.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MTA
Target entity description: MTA is the main regulated equities market segment of Borsa Italiana, where shares of medium and large Italian and international companies are listed and traded.
  • A. MTA
    MTA is the commonly used abbreviation for the Maryland Transit Administration, the state agency that operates public transportation services in and around Baltimore, Maryland.
  • B. MTA
    MTA is the abbreviated name historically used for Boston’s Metropolitan Transit Authority, the predecessor to today’s MBTA public transit system.
  • C. MTA New York City Subway fare system
    The MTA New York City Subway fare system is the payment and ticketing framework that governs how riders pay to use New York City’s subway network, including methods like MetroCard and OMNY.
  • D. MRT
    MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
  • E. MRT
    MRT is the commonly used abbreviation for the Taipei Metro, the rapid transit system serving Taipei and its surrounding areas.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb69887c8190a3f1188ec85727b0 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db2c2c5081909b83d89c989a8d1c completed March 14, 2026, 3:51 a.m.
NEDg Description generation batch_69b4dbd0b6e88190a857afe3c1041788 completed March 14, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69b4dc5114ec8190aee92e21a48ae268 completed March 14, 2026, 3:56 a.m.
Created at: March 8, 2026, 3:35 p.m.